jiudingyang
commited on
Commit
·
c999bb8
1
Parent(s):
7f9bdeb
First model version
Browse files- pytorch_model-00002-of-00007.bin +3 -0
- pytorch_model-00003-of-00007.bin +3 -0
- pytorch_model-00004-of-00007.bin +3 -0
- pytorch_model-00005-of-00007.bin +3 -0
- pytorch_model-00006-of-00007.bin +3 -0
- pytorch_model-00007-of-00007.bin +3 -0
- pytorch_model.bin.index.json +442 -0
- special_tokens_map.json +30 -0
- tokenizer.model +3 -0
- tokenizer_config.json +48 -0
- train_results.json +7 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +1366 -0
- training_args.bin +3 -0
- training_loss.svg +1308 -0
pytorch_model-00002-of-00007.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d8280511067070df956f3bf9bd574d7d55ff09643e6a2e03ebda2a52531a6816
|
3 |
+
size 9689093137
|
pytorch_model-00003-of-00007.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a48dfc013eef30de34a0c40c2089e0c57263a74bd1bfb99546153f1c3557a776
|
3 |
+
size 9689093137
|
pytorch_model-00004-of-00007.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c321676f360a75e78ae7b1b4045e9a17ce152faa02ee0609baf14c2ac55bf565
|
3 |
+
size 9689093137
|
pytorch_model-00005-of-00007.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fbb9726a29fcc90ab6d07d79a959b8fdf7c62bc8fdac5a127e850a66a5c5b380
|
3 |
+
size 9689093137
|
pytorch_model-00006-of-00007.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:24e956796ca12c4df3e9794efbcb85e1e4704ea639f2a8277361a78711f2f8dc
|
3 |
+
size 9689093137
|
pytorch_model-00007-of-00007.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4b84131f56294a78d3ec16e607727effb8de56ae66f2fe9da281e798b273b8be
|
3 |
+
size 9190067865
|
pytorch_model.bin.index.json
ADDED
@@ -0,0 +1,442 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 67488104448
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "pytorch_model-00007-of-00007.bin",
|
7 |
+
"model.embed_tokens.weight": "pytorch_model-00001-of-00007.bin",
|
8 |
+
"model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
|
17 |
+
"model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
|
26 |
+
"model.layers.10.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
|
35 |
+
"model.layers.11.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
|
44 |
+
"model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
|
53 |
+
"model.layers.13.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
|
62 |
+
"model.layers.14.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
|
71 |
+
"model.layers.15.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
|
80 |
+
"model.layers.16.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
|
89 |
+
"model.layers.17.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
|
98 |
+
"model.layers.18.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
|
107 |
+
"model.layers.19.input_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "pytorch_model-00003-of-00007.bin",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "pytorch_model-00003-of-00007.bin",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
|
116 |
+
"model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
|
125 |
+
"model.layers.20.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "pytorch_model-00003-of-00007.bin",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "pytorch_model-00003-of-00007.bin",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "pytorch_model-00003-of-00007.bin",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "pytorch_model-00003-of-00007.bin",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "pytorch_model-00003-of-00007.bin",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "pytorch_model-00003-of-00007.bin",
|
134 |
+
"model.layers.21.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
|
143 |
+
"model.layers.22.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
|
152 |
+
"model.layers.23.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
|
161 |
+
"model.layers.24.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
|
170 |
+
"model.layers.25.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
|
179 |
+
"model.layers.26.input_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "pytorch_model-00004-of-00007.bin",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "pytorch_model-00004-of-00007.bin",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
|
188 |
+
"model.layers.27.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "pytorch_model-00004-of-00007.bin",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "pytorch_model-00004-of-00007.bin",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "pytorch_model-00004-of-00007.bin",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "pytorch_model-00004-of-00007.bin",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "pytorch_model-00004-of-00007.bin",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "pytorch_model-00004-of-00007.bin",
|
197 |
+
"model.layers.28.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
|
206 |
+
"model.layers.29.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
|
215 |
+
"model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
|
224 |
+
"model.layers.30.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
|
233 |
+
"model.layers.31.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
|
242 |
+
"model.layers.32.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
243 |
+
"model.layers.32.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
|
244 |
+
"model.layers.32.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
|
245 |
+
"model.layers.32.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
|
246 |
+
"model.layers.32.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
247 |
+
"model.layers.32.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
|
248 |
+
"model.layers.32.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
|
249 |
+
"model.layers.32.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
|
250 |
+
"model.layers.32.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
|
251 |
+
"model.layers.33.input_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
252 |
+
"model.layers.33.mlp.down_proj.weight": "pytorch_model-00005-of-00007.bin",
|
253 |
+
"model.layers.33.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
|
254 |
+
"model.layers.33.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
|
255 |
+
"model.layers.33.post_attention_layernorm.weight": "pytorch_model-00005-of-00007.bin",
|
256 |
+
"model.layers.33.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
|
257 |
+
"model.layers.33.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
|
258 |
+
"model.layers.33.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
|
259 |
+
"model.layers.33.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
|
260 |
+
"model.layers.34.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
261 |
+
"model.layers.34.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
|
262 |
+
"model.layers.34.mlp.gate_proj.weight": "pytorch_model-00005-of-00007.bin",
|
263 |
+
"model.layers.34.mlp.up_proj.weight": "pytorch_model-00005-of-00007.bin",
|
264 |
+
"model.layers.34.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
265 |
+
"model.layers.34.self_attn.k_proj.weight": "pytorch_model-00005-of-00007.bin",
|
266 |
+
"model.layers.34.self_attn.o_proj.weight": "pytorch_model-00005-of-00007.bin",
|
267 |
+
"model.layers.34.self_attn.q_proj.weight": "pytorch_model-00005-of-00007.bin",
|
268 |
+
"model.layers.34.self_attn.v_proj.weight": "pytorch_model-00005-of-00007.bin",
|
269 |
+
"model.layers.35.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
270 |
+
"model.layers.35.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
|
271 |
+
"model.layers.35.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
|
272 |
+
"model.layers.35.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
|
273 |
+
"model.layers.35.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
274 |
+
"model.layers.35.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
|
275 |
+
"model.layers.35.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
|
276 |
+
"model.layers.35.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
|
277 |
+
"model.layers.35.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
|
278 |
+
"model.layers.36.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
279 |
+
"model.layers.36.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
|
280 |
+
"model.layers.36.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
|
281 |
+
"model.layers.36.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
|
282 |
+
"model.layers.36.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
283 |
+
"model.layers.36.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
|
284 |
+
"model.layers.36.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
|
285 |
+
"model.layers.36.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
|
286 |
+
"model.layers.36.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
|
287 |
+
"model.layers.37.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
288 |
+
"model.layers.37.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
|
289 |
+
"model.layers.37.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
|
290 |
+
"model.layers.37.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
|
291 |
+
"model.layers.37.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
292 |
+
"model.layers.37.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
|
293 |
+
"model.layers.37.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
|
294 |
+
"model.layers.37.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
|
295 |
+
"model.layers.37.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
|
296 |
+
"model.layers.38.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
297 |
+
"model.layers.38.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
|
298 |
+
"model.layers.38.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
|
299 |
+
"model.layers.38.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
|
300 |
+
"model.layers.38.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
301 |
+
"model.layers.38.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
|
302 |
+
"model.layers.38.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
|
303 |
+
"model.layers.38.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
|
304 |
+
"model.layers.38.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
|
305 |
+
"model.layers.39.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
306 |
+
"model.layers.39.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
|
307 |
+
"model.layers.39.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
|
308 |
+
"model.layers.39.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
|
309 |
+
"model.layers.39.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
310 |
+
"model.layers.39.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
|
311 |
+
"model.layers.39.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
|
312 |
+
"model.layers.39.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
|
313 |
+
"model.layers.39.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
|
314 |
+
"model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
315 |
+
"model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
|
316 |
+
"model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
|
317 |
+
"model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
|
318 |
+
"model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
319 |
+
"model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
|
320 |
+
"model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
|
321 |
+
"model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
|
322 |
+
"model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
|
323 |
+
"model.layers.40.input_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
324 |
+
"model.layers.40.mlp.down_proj.weight": "pytorch_model-00006-of-00007.bin",
|
325 |
+
"model.layers.40.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
|
326 |
+
"model.layers.40.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
|
327 |
+
"model.layers.40.post_attention_layernorm.weight": "pytorch_model-00006-of-00007.bin",
|
328 |
+
"model.layers.40.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
|
329 |
+
"model.layers.40.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
|
330 |
+
"model.layers.40.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
|
331 |
+
"model.layers.40.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
|
332 |
+
"model.layers.41.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
333 |
+
"model.layers.41.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
|
334 |
+
"model.layers.41.mlp.gate_proj.weight": "pytorch_model-00006-of-00007.bin",
|
335 |
+
"model.layers.41.mlp.up_proj.weight": "pytorch_model-00006-of-00007.bin",
|
336 |
+
"model.layers.41.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
337 |
+
"model.layers.41.self_attn.k_proj.weight": "pytorch_model-00006-of-00007.bin",
|
338 |
+
"model.layers.41.self_attn.o_proj.weight": "pytorch_model-00006-of-00007.bin",
|
339 |
+
"model.layers.41.self_attn.q_proj.weight": "pytorch_model-00006-of-00007.bin",
|
340 |
+
"model.layers.41.self_attn.v_proj.weight": "pytorch_model-00006-of-00007.bin",
|
341 |
+
"model.layers.42.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
342 |
+
"model.layers.42.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
|
343 |
+
"model.layers.42.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
|
344 |
+
"model.layers.42.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
|
345 |
+
"model.layers.42.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
346 |
+
"model.layers.42.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
|
347 |
+
"model.layers.42.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
|
348 |
+
"model.layers.42.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
|
349 |
+
"model.layers.42.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
|
350 |
+
"model.layers.43.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
351 |
+
"model.layers.43.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
|
352 |
+
"model.layers.43.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
|
353 |
+
"model.layers.43.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
|
354 |
+
"model.layers.43.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
355 |
+
"model.layers.43.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
|
356 |
+
"model.layers.43.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
|
357 |
+
"model.layers.43.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
|
358 |
+
"model.layers.43.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
|
359 |
+
"model.layers.44.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
360 |
+
"model.layers.44.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
|
361 |
+
"model.layers.44.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
|
362 |
+
"model.layers.44.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
|
363 |
+
"model.layers.44.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
364 |
+
"model.layers.44.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
|
365 |
+
"model.layers.44.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
|
366 |
+
"model.layers.44.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
|
367 |
+
"model.layers.44.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
|
368 |
+
"model.layers.45.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
369 |
+
"model.layers.45.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
|
370 |
+
"model.layers.45.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
|
371 |
+
"model.layers.45.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
|
372 |
+
"model.layers.45.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
373 |
+
"model.layers.45.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
|
374 |
+
"model.layers.45.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
|
375 |
+
"model.layers.45.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
|
376 |
+
"model.layers.45.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
|
377 |
+
"model.layers.46.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
378 |
+
"model.layers.46.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
|
379 |
+
"model.layers.46.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
|
380 |
+
"model.layers.46.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
|
381 |
+
"model.layers.46.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
382 |
+
"model.layers.46.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
|
383 |
+
"model.layers.46.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
|
384 |
+
"model.layers.46.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
|
385 |
+
"model.layers.46.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
|
386 |
+
"model.layers.47.input_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
387 |
+
"model.layers.47.mlp.down_proj.weight": "pytorch_model-00007-of-00007.bin",
|
388 |
+
"model.layers.47.mlp.gate_proj.weight": "pytorch_model-00007-of-00007.bin",
|
389 |
+
"model.layers.47.mlp.up_proj.weight": "pytorch_model-00007-of-00007.bin",
|
390 |
+
"model.layers.47.post_attention_layernorm.weight": "pytorch_model-00007-of-00007.bin",
|
391 |
+
"model.layers.47.self_attn.k_proj.weight": "pytorch_model-00007-of-00007.bin",
|
392 |
+
"model.layers.47.self_attn.o_proj.weight": "pytorch_model-00007-of-00007.bin",
|
393 |
+
"model.layers.47.self_attn.q_proj.weight": "pytorch_model-00007-of-00007.bin",
|
394 |
+
"model.layers.47.self_attn.v_proj.weight": "pytorch_model-00007-of-00007.bin",
|
395 |
+
"model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
396 |
+
"model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00007.bin",
|
397 |
+
"model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
|
398 |
+
"model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
|
399 |
+
"model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00007.bin",
|
400 |
+
"model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
|
401 |
+
"model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
|
402 |
+
"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
|
403 |
+
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
|
404 |
+
"model.layers.6.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
405 |
+
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
|
406 |
+
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00007.bin",
|
407 |
+
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00007.bin",
|
408 |
+
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
409 |
+
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00007.bin",
|
410 |
+
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00007.bin",
|
411 |
+
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00007.bin",
|
412 |
+
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00007.bin",
|
413 |
+
"model.layers.7.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
414 |
+
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
|
415 |
+
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
|
416 |
+
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
|
417 |
+
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
418 |
+
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
|
419 |
+
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
|
420 |
+
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
|
421 |
+
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
|
422 |
+
"model.layers.8.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
423 |
+
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
|
424 |
+
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
|
425 |
+
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
|
426 |
+
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
427 |
+
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
|
428 |
+
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
|
429 |
+
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
|
430 |
+
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
|
431 |
+
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
432 |
+
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00007.bin",
|
433 |
+
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00007.bin",
|
434 |
+
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00007.bin",
|
435 |
+
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00007.bin",
|
436 |
+
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00007.bin",
|
437 |
+
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00007.bin",
|
438 |
+
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00007.bin",
|
439 |
+
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00007.bin",
|
440 |
+
"model.norm.weight": "pytorch_model-00007-of-00007.bin"
|
441 |
+
}
|
442 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"▁<PRE>",
|
4 |
+
"▁<MID>",
|
5 |
+
"▁<SUF>",
|
6 |
+
"▁<EOT>"
|
7 |
+
],
|
8 |
+
"bos_token": {
|
9 |
+
"content": "<s>",
|
10 |
+
"lstrip": false,
|
11 |
+
"normalized": true,
|
12 |
+
"rstrip": false,
|
13 |
+
"single_word": false
|
14 |
+
},
|
15 |
+
"eos_token": {
|
16 |
+
"content": "</s>",
|
17 |
+
"lstrip": false,
|
18 |
+
"normalized": true,
|
19 |
+
"rstrip": false,
|
20 |
+
"single_word": false
|
21 |
+
},
|
22 |
+
"pad_token": "[PAD]",
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": true,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"additional_special_tokens": [
|
5 |
+
"▁<PRE>",
|
6 |
+
"▁<MID>",
|
7 |
+
"▁<SUF>",
|
8 |
+
"▁<EOT>"
|
9 |
+
],
|
10 |
+
"bos_token": {
|
11 |
+
"__type": "AddedToken",
|
12 |
+
"content": "<s>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": true,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false
|
17 |
+
},
|
18 |
+
"clean_up_tokenization_spaces": false,
|
19 |
+
"eos_token": {
|
20 |
+
"__type": "AddedToken",
|
21 |
+
"content": "</s>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": true,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"eot_token": "▁<EOT>",
|
28 |
+
"fill_token": "<FILL_ME>",
|
29 |
+
"legacy": null,
|
30 |
+
"middle_token": "▁<MID>",
|
31 |
+
"model_max_length": 1000000000000000019884624838656,
|
32 |
+
"pad_token": null,
|
33 |
+
"padding_side": "left",
|
34 |
+
"prefix_token": "▁<PRE>",
|
35 |
+
"sp_model_kwargs": {},
|
36 |
+
"suffix_first": false,
|
37 |
+
"suffix_token": "▁<SUF>",
|
38 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
39 |
+
"unk_token": {
|
40 |
+
"__type": "AddedToken",
|
41 |
+
"content": "<unk>",
|
42 |
+
"lstrip": false,
|
43 |
+
"normalized": true,
|
44 |
+
"rstrip": false,
|
45 |
+
"single_word": false
|
46 |
+
},
|
47 |
+
"use_default_system_prompt": false
|
48 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"train_loss": 0.3625062153889583,
|
4 |
+
"train_runtime": 97159.7175,
|
5 |
+
"train_samples_per_second": 5.892,
|
6 |
+
"train_steps_per_second": 0.023
|
7 |
+
}
|
trainer_log.jsonl
ADDED
The diff for this file is too large to render.
See raw diff
|
|
trainer_state.json
ADDED
@@ -0,0 +1,1366 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9991059454626732,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 2236,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"learning_rate": 1.9999012995785765e-05,
|
14 |
+
"loss": 0.5699,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.02,
|
19 |
+
"learning_rate": 1.999605217797852e-05,
|
20 |
+
"loss": 0.5008,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.03,
|
25 |
+
"learning_rate": 1.9991118131046197e-05,
|
26 |
+
"loss": 0.4814,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.04,
|
31 |
+
"learning_rate": 1.998421182897382e-05,
|
32 |
+
"loss": 0.4777,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.04,
|
37 |
+
"learning_rate": 1.9975334635071234e-05,
|
38 |
+
"loss": 0.4618,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.05,
|
43 |
+
"learning_rate": 1.9964488301704004e-05,
|
44 |
+
"loss": 0.4635,
|
45 |
+
"step": 60
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.06,
|
49 |
+
"learning_rate": 1.9951674969947477e-05,
|
50 |
+
"loss": 0.4641,
|
51 |
+
"step": 70
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.07,
|
55 |
+
"learning_rate": 1.993689716916414e-05,
|
56 |
+
"loss": 0.454,
|
57 |
+
"step": 80
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.08,
|
61 |
+
"learning_rate": 1.992015781650432e-05,
|
62 |
+
"loss": 0.4682,
|
63 |
+
"step": 90
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.09,
|
67 |
+
"learning_rate": 1.9901460216330344e-05,
|
68 |
+
"loss": 0.4651,
|
69 |
+
"step": 100
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.1,
|
73 |
+
"learning_rate": 1.988080805956425e-05,
|
74 |
+
"loss": 0.4528,
|
75 |
+
"step": 110
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.11,
|
79 |
+
"learning_rate": 1.9858205422959183e-05,
|
80 |
+
"loss": 0.4495,
|
81 |
+
"step": 120
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.12,
|
85 |
+
"learning_rate": 1.983365676829466e-05,
|
86 |
+
"loss": 0.4425,
|
87 |
+
"step": 130
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.13,
|
91 |
+
"learning_rate": 1.9807166941495813e-05,
|
92 |
+
"loss": 0.46,
|
93 |
+
"step": 140
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.13,
|
97 |
+
"learning_rate": 1.9778741171676766e-05,
|
98 |
+
"loss": 0.4544,
|
99 |
+
"step": 150
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.14,
|
103 |
+
"learning_rate": 1.9748385070108444e-05,
|
104 |
+
"loss": 0.4361,
|
105 |
+
"step": 160
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.15,
|
109 |
+
"learning_rate": 1.9716104629110882e-05,
|
110 |
+
"loss": 0.4467,
|
111 |
+
"step": 170
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.16,
|
115 |
+
"learning_rate": 1.9681906220870345e-05,
|
116 |
+
"loss": 0.4426,
|
117 |
+
"step": 180
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.17,
|
121 |
+
"learning_rate": 1.9645796596181436e-05,
|
122 |
+
"loss": 0.4579,
|
123 |
+
"step": 190
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.18,
|
127 |
+
"learning_rate": 1.9607782883114507e-05,
|
128 |
+
"loss": 0.457,
|
129 |
+
"step": 200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.19,
|
133 |
+
"learning_rate": 1.956787258560856e-05,
|
134 |
+
"loss": 0.4436,
|
135 |
+
"step": 210
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2,
|
139 |
+
"learning_rate": 1.952607358198996e-05,
|
140 |
+
"loss": 0.4478,
|
141 |
+
"step": 220
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.21,
|
145 |
+
"learning_rate": 1.9482394123417246e-05,
|
146 |
+
"loss": 0.4442,
|
147 |
+
"step": 230
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.21,
|
151 |
+
"learning_rate": 1.9436842832252363e-05,
|
152 |
+
"loss": 0.44,
|
153 |
+
"step": 240
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.22,
|
157 |
+
"learning_rate": 1.9389428700358575e-05,
|
158 |
+
"loss": 0.4482,
|
159 |
+
"step": 250
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.23,
|
163 |
+
"learning_rate": 1.9340161087325483e-05,
|
164 |
+
"loss": 0.4399,
|
165 |
+
"step": 260
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.24,
|
169 |
+
"learning_rate": 1.9289049718621423e-05,
|
170 |
+
"loss": 0.4354,
|
171 |
+
"step": 270
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.25,
|
175 |
+
"learning_rate": 1.9236104683673656e-05,
|
176 |
+
"loss": 0.4495,
|
177 |
+
"step": 280
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.26,
|
181 |
+
"learning_rate": 1.9181336433876704e-05,
|
182 |
+
"loss": 0.4378,
|
183 |
+
"step": 290
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.27,
|
187 |
+
"learning_rate": 1.9124755780529243e-05,
|
188 |
+
"loss": 0.439,
|
189 |
+
"step": 300
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.28,
|
193 |
+
"learning_rate": 1.9066373892699933e-05,
|
194 |
+
"loss": 0.4472,
|
195 |
+
"step": 310
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.29,
|
199 |
+
"learning_rate": 1.9006202295022632e-05,
|
200 |
+
"loss": 0.4445,
|
201 |
+
"step": 320
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.3,
|
205 |
+
"learning_rate": 1.894425286542144e-05,
|
206 |
+
"loss": 0.44,
|
207 |
+
"step": 330
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.3,
|
211 |
+
"learning_rate": 1.8880537832765976e-05,
|
212 |
+
"loss": 0.4405,
|
213 |
+
"step": 340
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.31,
|
217 |
+
"learning_rate": 1.8815069774457386e-05,
|
218 |
+
"loss": 0.4499,
|
219 |
+
"step": 350
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.32,
|
223 |
+
"learning_rate": 1.874786161394556e-05,
|
224 |
+
"loss": 0.4314,
|
225 |
+
"step": 360
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.33,
|
229 |
+
"learning_rate": 1.8678926618178034e-05,
|
230 |
+
"loss": 0.4409,
|
231 |
+
"step": 370
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.34,
|
235 |
+
"learning_rate": 1.8608278394981068e-05,
|
236 |
+
"loss": 0.4378,
|
237 |
+
"step": 380
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.35,
|
241 |
+
"learning_rate": 1.8535930890373467e-05,
|
242 |
+
"loss": 0.4356,
|
243 |
+
"step": 390
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.36,
|
247 |
+
"learning_rate": 1.8461898385813622e-05,
|
248 |
+
"loss": 0.447,
|
249 |
+
"step": 400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.37,
|
253 |
+
"learning_rate": 1.8386195495380324e-05,
|
254 |
+
"loss": 0.4323,
|
255 |
+
"step": 410
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.38,
|
259 |
+
"learning_rate": 1.8308837162887964e-05,
|
260 |
+
"loss": 0.4299,
|
261 |
+
"step": 420
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.38,
|
265 |
+
"learning_rate": 1.8229838658936566e-05,
|
266 |
+
"loss": 0.4375,
|
267 |
+
"step": 430
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.39,
|
271 |
+
"learning_rate": 1.8149215577897397e-05,
|
272 |
+
"loss": 0.4494,
|
273 |
+
"step": 440
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.4,
|
277 |
+
"learning_rate": 1.8066983834834607e-05,
|
278 |
+
"loss": 0.4371,
|
279 |
+
"step": 450
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.41,
|
283 |
+
"learning_rate": 1.7983159662363582e-05,
|
284 |
+
"loss": 0.4293,
|
285 |
+
"step": 460
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.42,
|
289 |
+
"learning_rate": 1.7897759607446627e-05,
|
290 |
+
"loss": 0.4389,
|
291 |
+
"step": 470
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.43,
|
295 |
+
"learning_rate": 1.7810800528126556e-05,
|
296 |
+
"loss": 0.4469,
|
297 |
+
"step": 480
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.44,
|
301 |
+
"learning_rate": 1.772229959019892e-05,
|
302 |
+
"loss": 0.4352,
|
303 |
+
"step": 490
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.45,
|
307 |
+
"learning_rate": 1.7632274263823458e-05,
|
308 |
+
"loss": 0.4411,
|
309 |
+
"step": 500
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.46,
|
313 |
+
"learning_rate": 1.7540742320075476e-05,
|
314 |
+
"loss": 0.4339,
|
315 |
+
"step": 510
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.46,
|
319 |
+
"learning_rate": 1.744772182743782e-05,
|
320 |
+
"loss": 0.4284,
|
321 |
+
"step": 520
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.47,
|
325 |
+
"learning_rate": 1.7353231148234134e-05,
|
326 |
+
"loss": 0.4226,
|
327 |
+
"step": 530
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.48,
|
331 |
+
"learning_rate": 1.7257288935004134e-05,
|
332 |
+
"loss": 0.4348,
|
333 |
+
"step": 540
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.49,
|
337 |
+
"learning_rate": 1.715991412682158e-05,
|
338 |
+
"loss": 0.428,
|
339 |
+
"step": 550
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.5,
|
343 |
+
"learning_rate": 1.706112594555568e-05,
|
344 |
+
"loss": 0.448,
|
345 |
+
"step": 560
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.51,
|
349 |
+
"learning_rate": 1.6960943892076672e-05,
|
350 |
+
"loss": 0.4362,
|
351 |
+
"step": 570
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.52,
|
355 |
+
"learning_rate": 1.6859387742406358e-05,
|
356 |
+
"loss": 0.4293,
|
357 |
+
"step": 580
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.53,
|
361 |
+
"learning_rate": 1.6756477543814276e-05,
|
362 |
+
"loss": 0.434,
|
363 |
+
"step": 590
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.54,
|
367 |
+
"learning_rate": 1.6652233610860368e-05,
|
368 |
+
"loss": 0.4496,
|
369 |
+
"step": 600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.55,
|
373 |
+
"learning_rate": 1.6546676521384856e-05,
|
374 |
+
"loss": 0.431,
|
375 |
+
"step": 610
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.55,
|
379 |
+
"learning_rate": 1.6439827112446177e-05,
|
380 |
+
"loss": 0.433,
|
381 |
+
"step": 620
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.56,
|
385 |
+
"learning_rate": 1.6331706476207708e-05,
|
386 |
+
"loss": 0.4351,
|
387 |
+
"step": 630
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.57,
|
391 |
+
"learning_rate": 1.6222335955774178e-05,
|
392 |
+
"loss": 0.4408,
|
393 |
+
"step": 640
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.58,
|
397 |
+
"learning_rate": 1.6111737140978495e-05,
|
398 |
+
"loss": 0.4159,
|
399 |
+
"step": 650
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.59,
|
403 |
+
"learning_rate": 1.5999931864119923e-05,
|
404 |
+
"loss": 0.4304,
|
405 |
+
"step": 660
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.6,
|
409 |
+
"learning_rate": 1.588694219565435e-05,
|
410 |
+
"loss": 0.4298,
|
411 |
+
"step": 670
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.61,
|
415 |
+
"learning_rate": 1.5772790439837557e-05,
|
416 |
+
"loss": 0.4263,
|
417 |
+
"step": 680
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.62,
|
421 |
+
"learning_rate": 1.5657499130322366e-05,
|
422 |
+
"loss": 0.4255,
|
423 |
+
"step": 690
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.63,
|
427 |
+
"learning_rate": 1.5541091025710436e-05,
|
428 |
+
"loss": 0.4297,
|
429 |
+
"step": 700
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.63,
|
433 |
+
"learning_rate": 1.542358910505974e-05,
|
434 |
+
"loss": 0.4261,
|
435 |
+
"step": 710
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.64,
|
439 |
+
"learning_rate": 1.5305016563348444e-05,
|
440 |
+
"loss": 0.4195,
|
441 |
+
"step": 720
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.65,
|
445 |
+
"learning_rate": 1.5185396806896231e-05,
|
446 |
+
"loss": 0.4323,
|
447 |
+
"step": 730
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.66,
|
451 |
+
"learning_rate": 1.5064753448743834e-05,
|
452 |
+
"loss": 0.4084,
|
453 |
+
"step": 740
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.67,
|
457 |
+
"learning_rate": 1.4943110303991844e-05,
|
458 |
+
"loss": 0.4241,
|
459 |
+
"step": 750
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.68,
|
463 |
+
"learning_rate": 1.4820491385099555e-05,
|
464 |
+
"loss": 0.4348,
|
465 |
+
"step": 760
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.69,
|
469 |
+
"learning_rate": 1.4696920897144915e-05,
|
470 |
+
"loss": 0.4237,
|
471 |
+
"step": 770
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.7,
|
475 |
+
"learning_rate": 1.4572423233046386e-05,
|
476 |
+
"loss": 0.423,
|
477 |
+
"step": 780
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.71,
|
481 |
+
"learning_rate": 1.4447022968747803e-05,
|
482 |
+
"loss": 0.4251,
|
483 |
+
"step": 790
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.72,
|
487 |
+
"learning_rate": 1.4320744858367026e-05,
|
488 |
+
"loss": 0.4404,
|
489 |
+
"step": 800
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.72,
|
493 |
+
"learning_rate": 1.419361382930948e-05,
|
494 |
+
"loss": 0.4412,
|
495 |
+
"step": 810
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.73,
|
499 |
+
"learning_rate": 1.4065654977347452e-05,
|
500 |
+
"loss": 0.4263,
|
501 |
+
"step": 820
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.74,
|
505 |
+
"learning_rate": 1.3936893561666171e-05,
|
506 |
+
"loss": 0.4282,
|
507 |
+
"step": 830
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.75,
|
511 |
+
"learning_rate": 1.3807354999877615e-05,
|
512 |
+
"loss": 0.4147,
|
513 |
+
"step": 840
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.76,
|
517 |
+
"learning_rate": 1.3677064863003069e-05,
|
518 |
+
"loss": 0.4091,
|
519 |
+
"step": 850
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.77,
|
523 |
+
"learning_rate": 1.3546048870425356e-05,
|
524 |
+
"loss": 0.4261,
|
525 |
+
"step": 860
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 0.78,
|
529 |
+
"learning_rate": 1.3414332884811847e-05,
|
530 |
+
"loss": 0.4143,
|
531 |
+
"step": 870
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.79,
|
535 |
+
"learning_rate": 1.3281942907009113e-05,
|
536 |
+
"loss": 0.4213,
|
537 |
+
"step": 880
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.8,
|
541 |
+
"learning_rate": 1.3148905070910363e-05,
|
542 |
+
"loss": 0.4314,
|
543 |
+
"step": 890
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.8,
|
547 |
+
"learning_rate": 1.3015245638296565e-05,
|
548 |
+
"loss": 0.4073,
|
549 |
+
"step": 900
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.81,
|
553 |
+
"learning_rate": 1.2880990993652379e-05,
|
554 |
+
"loss": 0.4277,
|
555 |
+
"step": 910
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.82,
|
559 |
+
"learning_rate": 1.2746167638957808e-05,
|
560 |
+
"loss": 0.4176,
|
561 |
+
"step": 920
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.83,
|
565 |
+
"learning_rate": 1.2610802188456708e-05,
|
566 |
+
"loss": 0.4262,
|
567 |
+
"step": 930
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.84,
|
571 |
+
"learning_rate": 1.2474921363403096e-05,
|
572 |
+
"loss": 0.4248,
|
573 |
+
"step": 940
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.85,
|
577 |
+
"learning_rate": 1.2338551986786368e-05,
|
578 |
+
"loss": 0.4309,
|
579 |
+
"step": 950
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.86,
|
583 |
+
"learning_rate": 1.2201720978036411e-05,
|
584 |
+
"loss": 0.4248,
|
585 |
+
"step": 960
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.87,
|
589 |
+
"learning_rate": 1.2064455347709672e-05,
|
590 |
+
"loss": 0.4252,
|
591 |
+
"step": 970
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.88,
|
595 |
+
"learning_rate": 1.1926782192157276e-05,
|
596 |
+
"loss": 0.4279,
|
597 |
+
"step": 980
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.89,
|
601 |
+
"learning_rate": 1.1788728688176163e-05,
|
602 |
+
"loss": 0.4089,
|
603 |
+
"step": 990
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.89,
|
607 |
+
"learning_rate": 1.165032208764438e-05,
|
608 |
+
"loss": 0.4057,
|
609 |
+
"step": 1000
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.9,
|
613 |
+
"learning_rate": 1.1511589712141527e-05,
|
614 |
+
"loss": 0.4326,
|
615 |
+
"step": 1010
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.91,
|
619 |
+
"learning_rate": 1.1372558947555457e-05,
|
620 |
+
"loss": 0.4131,
|
621 |
+
"step": 1020
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.92,
|
625 |
+
"learning_rate": 1.123325723867628e-05,
|
626 |
+
"loss": 0.4313,
|
627 |
+
"step": 1030
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.93,
|
631 |
+
"learning_rate": 1.1093712083778748e-05,
|
632 |
+
"loss": 0.4109,
|
633 |
+
"step": 1040
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.94,
|
637 |
+
"learning_rate": 1.0953951029194039e-05,
|
638 |
+
"loss": 0.417,
|
639 |
+
"step": 1050
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.95,
|
643 |
+
"learning_rate": 1.0814001663872133e-05,
|
644 |
+
"loss": 0.4012,
|
645 |
+
"step": 1060
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.96,
|
649 |
+
"learning_rate": 1.06738916139357e-05,
|
650 |
+
"loss": 0.4163,
|
651 |
+
"step": 1070
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.97,
|
655 |
+
"learning_rate": 1.0533648537226688e-05,
|
656 |
+
"loss": 0.4143,
|
657 |
+
"step": 1080
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.97,
|
661 |
+
"learning_rate": 1.0393300117846648e-05,
|
662 |
+
"loss": 0.4175,
|
663 |
+
"step": 1090
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.98,
|
667 |
+
"learning_rate": 1.0252874060691847e-05,
|
668 |
+
"loss": 0.4142,
|
669 |
+
"step": 1100
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.99,
|
673 |
+
"learning_rate": 1.0112398085984333e-05,
|
674 |
+
"loss": 0.4129,
|
675 |
+
"step": 1110
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.0,
|
679 |
+
"learning_rate": 9.971899923799915e-06,
|
680 |
+
"loss": 0.4014,
|
681 |
+
"step": 1120
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.01,
|
685 |
+
"learning_rate": 9.831407308594216e-06,
|
686 |
+
"loss": 0.3032,
|
687 |
+
"step": 1130
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 1.02,
|
691 |
+
"learning_rate": 9.690947973727905e-06,
|
692 |
+
"loss": 0.2998,
|
693 |
+
"step": 1140
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 1.03,
|
697 |
+
"learning_rate": 9.550549645992061e-06,
|
698 |
+
"loss": 0.2883,
|
699 |
+
"step": 1150
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 1.04,
|
703 |
+
"learning_rate": 9.410240040134918e-06,
|
704 |
+
"loss": 0.2953,
|
705 |
+
"step": 1160
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 1.05,
|
709 |
+
"learning_rate": 9.270046853390924e-06,
|
710 |
+
"loss": 0.2913,
|
711 |
+
"step": 1170
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.05,
|
715 |
+
"learning_rate": 9.129997760013316e-06,
|
716 |
+
"loss": 0.2864,
|
717 |
+
"step": 1180
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 1.06,
|
721 |
+
"learning_rate": 8.99012040581116e-06,
|
722 |
+
"loss": 0.2919,
|
723 |
+
"step": 1190
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 1.07,
|
727 |
+
"learning_rate": 8.850442402692068e-06,
|
728 |
+
"loss": 0.2979,
|
729 |
+
"step": 1200
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 1.08,
|
733 |
+
"learning_rate": 8.710991323211586e-06,
|
734 |
+
"loss": 0.2941,
|
735 |
+
"step": 1210
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 1.09,
|
739 |
+
"learning_rate": 8.571794695130343e-06,
|
740 |
+
"loss": 0.2958,
|
741 |
+
"step": 1220
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 1.1,
|
745 |
+
"learning_rate": 8.432879995980036e-06,
|
746 |
+
"loss": 0.3008,
|
747 |
+
"step": 1230
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 1.11,
|
751 |
+
"learning_rate": 8.294274647639369e-06,
|
752 |
+
"loss": 0.2997,
|
753 |
+
"step": 1240
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 1.12,
|
757 |
+
"learning_rate": 8.156006010920919e-06,
|
758 |
+
"loss": 0.286,
|
759 |
+
"step": 1250
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 1.13,
|
763 |
+
"learning_rate": 8.018101380170123e-06,
|
764 |
+
"loss": 0.2928,
|
765 |
+
"step": 1260
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 1.14,
|
769 |
+
"learning_rate": 7.88058797787732e-06,
|
770 |
+
"loss": 0.2895,
|
771 |
+
"step": 1270
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 1.14,
|
775 |
+
"learning_rate": 7.743492949304023e-06,
|
776 |
+
"loss": 0.2956,
|
777 |
+
"step": 1280
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 1.15,
|
781 |
+
"learning_rate": 7.606843357124426e-06,
|
782 |
+
"loss": 0.3037,
|
783 |
+
"step": 1290
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 1.16,
|
787 |
+
"learning_rate": 7.470666176083193e-06,
|
788 |
+
"loss": 0.2887,
|
789 |
+
"step": 1300
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 1.17,
|
793 |
+
"learning_rate": 7.334988287670648e-06,
|
794 |
+
"loss": 0.2961,
|
795 |
+
"step": 1310
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 1.18,
|
799 |
+
"learning_rate": 7.199836474816313e-06,
|
800 |
+
"loss": 0.2971,
|
801 |
+
"step": 1320
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 1.19,
|
805 |
+
"learning_rate": 7.0652374166019625e-06,
|
806 |
+
"loss": 0.2943,
|
807 |
+
"step": 1330
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 1.2,
|
811 |
+
"learning_rate": 6.931217682995124e-06,
|
812 |
+
"loss": 0.295,
|
813 |
+
"step": 1340
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 1.21,
|
817 |
+
"learning_rate": 6.797803729604183e-06,
|
818 |
+
"loss": 0.2804,
|
819 |
+
"step": 1350
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 1.22,
|
823 |
+
"learning_rate": 6.665021892455978e-06,
|
824 |
+
"loss": 0.2914,
|
825 |
+
"step": 1360
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 1.22,
|
829 |
+
"learning_rate": 6.532898382797082e-06,
|
830 |
+
"loss": 0.2911,
|
831 |
+
"step": 1370
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 1.23,
|
835 |
+
"learning_rate": 6.401459281919656e-06,
|
836 |
+
"loss": 0.2905,
|
837 |
+
"step": 1380
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 1.24,
|
841 |
+
"learning_rate": 6.270730536013e-06,
|
842 |
+
"loss": 0.2967,
|
843 |
+
"step": 1390
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 1.25,
|
847 |
+
"learning_rate": 6.140737951041742e-06,
|
848 |
+
"loss": 0.2994,
|
849 |
+
"step": 1400
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 1.26,
|
853 |
+
"learning_rate": 6.011507187651715e-06,
|
854 |
+
"loss": 0.2757,
|
855 |
+
"step": 1410
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 1.27,
|
859 |
+
"learning_rate": 5.883063756104535e-06,
|
860 |
+
"loss": 0.2833,
|
861 |
+
"step": 1420
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 1.28,
|
865 |
+
"learning_rate": 5.755433011241851e-06,
|
866 |
+
"loss": 0.2855,
|
867 |
+
"step": 1430
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 1.29,
|
871 |
+
"learning_rate": 5.6286401474802675e-06,
|
872 |
+
"loss": 0.2988,
|
873 |
+
"step": 1440
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 1.3,
|
877 |
+
"learning_rate": 5.502710193837959e-06,
|
878 |
+
"loss": 0.2888,
|
879 |
+
"step": 1450
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 1.31,
|
883 |
+
"learning_rate": 5.377668008993921e-06,
|
884 |
+
"loss": 0.2933,
|
885 |
+
"step": 1460
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 1.31,
|
889 |
+
"learning_rate": 5.2535382763808185e-06,
|
890 |
+
"loss": 0.2948,
|
891 |
+
"step": 1470
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 1.32,
|
895 |
+
"learning_rate": 5.1303454993125075e-06,
|
896 |
+
"loss": 0.2921,
|
897 |
+
"step": 1480
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 1.33,
|
901 |
+
"learning_rate": 5.008113996147006e-06,
|
902 |
+
"loss": 0.3003,
|
903 |
+
"step": 1490
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 1.34,
|
907 |
+
"learning_rate": 4.886867895486065e-06,
|
908 |
+
"loss": 0.3004,
|
909 |
+
"step": 1500
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 1.35,
|
913 |
+
"learning_rate": 4.766631131412136e-06,
|
914 |
+
"loss": 0.2897,
|
915 |
+
"step": 1510
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 1.36,
|
919 |
+
"learning_rate": 4.647427438763806e-06,
|
920 |
+
"loss": 0.3048,
|
921 |
+
"step": 1520
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 1.37,
|
925 |
+
"learning_rate": 4.52928034845046e-06,
|
926 |
+
"loss": 0.2899,
|
927 |
+
"step": 1530
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 1.38,
|
931 |
+
"learning_rate": 4.412213182807315e-06,
|
932 |
+
"loss": 0.2891,
|
933 |
+
"step": 1540
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 1.39,
|
937 |
+
"learning_rate": 4.296249050991529e-06,
|
938 |
+
"loss": 0.286,
|
939 |
+
"step": 1550
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 1.39,
|
943 |
+
"learning_rate": 4.181410844420473e-06,
|
944 |
+
"loss": 0.293,
|
945 |
+
"step": 1560
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 1.4,
|
949 |
+
"learning_rate": 4.067721232252909e-06,
|
950 |
+
"loss": 0.2904,
|
951 |
+
"step": 1570
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 1.41,
|
955 |
+
"learning_rate": 3.955202656914102e-06,
|
956 |
+
"loss": 0.2909,
|
957 |
+
"step": 1580
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 1.42,
|
961 |
+
"learning_rate": 3.843877329665662e-06,
|
962 |
+
"loss": 0.2997,
|
963 |
+
"step": 1590
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 1.43,
|
967 |
+
"learning_rate": 3.7337672262210155e-06,
|
968 |
+
"loss": 0.2808,
|
969 |
+
"step": 1600
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 1.44,
|
973 |
+
"learning_rate": 3.6248940824073955e-06,
|
974 |
+
"loss": 0.2919,
|
975 |
+
"step": 1610
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 1.45,
|
979 |
+
"learning_rate": 3.5172793898751446e-06,
|
980 |
+
"loss": 0.2887,
|
981 |
+
"step": 1620
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 1.46,
|
985 |
+
"learning_rate": 3.410944391855279e-06,
|
986 |
+
"loss": 0.28,
|
987 |
+
"step": 1630
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 1.47,
|
991 |
+
"learning_rate": 3.3059100789660215e-06,
|
992 |
+
"loss": 0.2828,
|
993 |
+
"step": 1640
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 1.48,
|
997 |
+
"learning_rate": 3.202197185069279e-06,
|
998 |
+
"loss": 0.2822,
|
999 |
+
"step": 1650
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 1.48,
|
1003 |
+
"learning_rate": 3.09982618317771e-06,
|
1004 |
+
"loss": 0.2871,
|
1005 |
+
"step": 1660
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 1.49,
|
1009 |
+
"learning_rate": 2.9988172814133774e-06,
|
1010 |
+
"loss": 0.2903,
|
1011 |
+
"step": 1670
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 1.5,
|
1015 |
+
"learning_rate": 2.899190419018616e-06,
|
1016 |
+
"loss": 0.2871,
|
1017 |
+
"step": 1680
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 1.51,
|
1021 |
+
"learning_rate": 2.8009652624200436e-06,
|
1022 |
+
"loss": 0.2926,
|
1023 |
+
"step": 1690
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 1.52,
|
1027 |
+
"learning_rate": 2.7041612013463535e-06,
|
1028 |
+
"loss": 0.2751,
|
1029 |
+
"step": 1700
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 1.53,
|
1033 |
+
"learning_rate": 2.6087973450007953e-06,
|
1034 |
+
"loss": 0.2815,
|
1035 |
+
"step": 1710
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 1.54,
|
1039 |
+
"learning_rate": 2.514892518288988e-06,
|
1040 |
+
"loss": 0.284,
|
1041 |
+
"step": 1720
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 1.55,
|
1045 |
+
"learning_rate": 2.422465258102875e-06,
|
1046 |
+
"loss": 0.2926,
|
1047 |
+
"step": 1730
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 1.56,
|
1051 |
+
"learning_rate": 2.331533809661518e-06,
|
1052 |
+
"loss": 0.2919,
|
1053 |
+
"step": 1740
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 1.56,
|
1057 |
+
"learning_rate": 2.242116122909478e-06,
|
1058 |
+
"loss": 0.2879,
|
1059 |
+
"step": 1750
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 1.57,
|
1063 |
+
"learning_rate": 2.154229848973486e-06,
|
1064 |
+
"loss": 0.2961,
|
1065 |
+
"step": 1760
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 1.58,
|
1069 |
+
"learning_rate": 2.0678923366780934e-06,
|
1070 |
+
"loss": 0.2901,
|
1071 |
+
"step": 1770
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 1.59,
|
1075 |
+
"learning_rate": 1.983120629120998e-06,
|
1076 |
+
"loss": 0.292,
|
1077 |
+
"step": 1780
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 1.6,
|
1081 |
+
"learning_rate": 1.899931460308716e-06,
|
1082 |
+
"loss": 0.2862,
|
1083 |
+
"step": 1790
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 1.61,
|
1087 |
+
"learning_rate": 1.8183412518532907e-06,
|
1088 |
+
"loss": 0.2859,
|
1089 |
+
"step": 1800
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 1.62,
|
1093 |
+
"learning_rate": 1.738366109730638e-06,
|
1094 |
+
"loss": 0.2837,
|
1095 |
+
"step": 1810
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 1.63,
|
1099 |
+
"learning_rate": 1.660021821101222e-06,
|
1100 |
+
"loss": 0.2793,
|
1101 |
+
"step": 1820
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 1.64,
|
1105 |
+
"learning_rate": 1.5833238511936467e-06,
|
1106 |
+
"loss": 0.2861,
|
1107 |
+
"step": 1830
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 1.65,
|
1111 |
+
"learning_rate": 1.5082873402518172e-06,
|
1112 |
+
"loss": 0.2963,
|
1113 |
+
"step": 1840
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 1.65,
|
1117 |
+
"learning_rate": 1.4349271005462395e-06,
|
1118 |
+
"loss": 0.2782,
|
1119 |
+
"step": 1850
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 1.66,
|
1123 |
+
"learning_rate": 1.3632576134500653e-06,
|
1124 |
+
"loss": 0.2865,
|
1125 |
+
"step": 1860
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 1.67,
|
1129 |
+
"learning_rate": 1.2932930265804478e-06,
|
1130 |
+
"loss": 0.2931,
|
1131 |
+
"step": 1870
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 1.68,
|
1135 |
+
"learning_rate": 1.225047151005807e-06,
|
1136 |
+
"loss": 0.2893,
|
1137 |
+
"step": 1880
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 1.69,
|
1141 |
+
"learning_rate": 1.158533458519504e-06,
|
1142 |
+
"loss": 0.282,
|
1143 |
+
"step": 1890
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 1.7,
|
1147 |
+
"learning_rate": 1.0937650789804944e-06,
|
1148 |
+
"loss": 0.2935,
|
1149 |
+
"step": 1900
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 1.71,
|
1153 |
+
"learning_rate": 1.0307547977214916e-06,
|
1154 |
+
"loss": 0.2734,
|
1155 |
+
"step": 1910
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 1.72,
|
1159 |
+
"learning_rate": 9.695150530251207e-07,
|
1160 |
+
"loss": 0.2867,
|
1161 |
+
"step": 1920
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 1.73,
|
1165 |
+
"learning_rate": 9.100579336686033e-07,
|
1166 |
+
"loss": 0.2809,
|
1167 |
+
"step": 1930
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 1.73,
|
1171 |
+
"learning_rate": 8.523951765374117e-07,
|
1172 |
+
"loss": 0.293,
|
1173 |
+
"step": 1940
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 1.74,
|
1177 |
+
"learning_rate": 7.965381643084069e-07,
|
1178 |
+
"loss": 0.2901,
|
1179 |
+
"step": 1950
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 1.75,
|
1183 |
+
"learning_rate": 7.424979232028784e-07,
|
1184 |
+
"loss": 0.2823,
|
1185 |
+
"step": 1960
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 1.76,
|
1189 |
+
"learning_rate": 6.902851208099704e-07,
|
1190 |
+
"loss": 0.2775,
|
1191 |
+
"step": 1970
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 1.77,
|
1195 |
+
"learning_rate": 6.399100639808819e-07,
|
1196 |
+
"loss": 0.2886,
|
1197 |
+
"step": 1980
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 1.78,
|
1201 |
+
"learning_rate": 5.913826967942926e-07,
|
1202 |
+
"loss": 0.2761,
|
1203 |
+
"step": 1990
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 1.79,
|
1207 |
+
"learning_rate": 5.44712598593381e-07,
|
1208 |
+
"loss": 0.2834,
|
1209 |
+
"step": 2000
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 1.8,
|
1213 |
+
"learning_rate": 4.9990898209487e-07,
|
1214 |
+
"loss": 0.2767,
|
1215 |
+
"step": 2010
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 1.81,
|
1219 |
+
"learning_rate": 4.5698069157042e-07,
|
1220 |
+
"loss": 0.2769,
|
1221 |
+
"step": 2020
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 1.81,
|
1225 |
+
"learning_rate": 4.159362011007606e-07,
|
1226 |
+
"loss": 0.2755,
|
1227 |
+
"step": 2030
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 1.82,
|
1231 |
+
"learning_rate": 3.76783612902909e-07,
|
1232 |
+
"loss": 0.2863,
|
1233 |
+
"step": 2040
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 1.83,
|
1237 |
+
"learning_rate": 3.395306557307698e-07,
|
1238 |
+
"loss": 0.2767,
|
1239 |
+
"step": 2050
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 1.84,
|
1243 |
+
"learning_rate": 3.041846833494888e-07,
|
1244 |
+
"loss": 0.2901,
|
1245 |
+
"step": 2060
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 1.85,
|
1249 |
+
"learning_rate": 2.7075267308380726e-07,
|
1250 |
+
"loss": 0.282,
|
1251 |
+
"step": 2070
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 1.86,
|
1255 |
+
"learning_rate": 2.392412244407294e-07,
|
1256 |
+
"loss": 0.2734,
|
1257 |
+
"step": 2080
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 1.87,
|
1261 |
+
"learning_rate": 2.0965655780677441e-07,
|
1262 |
+
"loss": 0.2821,
|
1263 |
+
"step": 2090
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 1.88,
|
1267 |
+
"learning_rate": 1.8200451322007208e-07,
|
1268 |
+
"loss": 0.2871,
|
1269 |
+
"step": 2100
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 1.89,
|
1273 |
+
"learning_rate": 1.562905492175326e-07,
|
1274 |
+
"loss": 0.2856,
|
1275 |
+
"step": 2110
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 1.9,
|
1279 |
+
"learning_rate": 1.3251974175732097e-07,
|
1280 |
+
"loss": 0.2851,
|
1281 |
+
"step": 2120
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 1.9,
|
1285 |
+
"learning_rate": 1.1069678321686372e-07,
|
1286 |
+
"loss": 0.2917,
|
1287 |
+
"step": 2130
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 1.91,
|
1291 |
+
"learning_rate": 9.08259814665724e-08,
|
1292 |
+
"loss": 0.2917,
|
1293 |
+
"step": 2140
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 1.92,
|
1297 |
+
"learning_rate": 7.291125901946027e-08,
|
1298 |
+
"loss": 0.2899,
|
1299 |
+
"step": 2150
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 1.93,
|
1303 |
+
"learning_rate": 5.695615225683737e-08,
|
1304 |
+
"loss": 0.288,
|
1305 |
+
"step": 2160
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 1.94,
|
1309 |
+
"learning_rate": 4.296381073022549e-08,
|
1310 |
+
"loss": 0.2858,
|
1311 |
+
"step": 2170
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 1.95,
|
1315 |
+
"learning_rate": 3.0936996539636663e-08,
|
1316 |
+
"loss": 0.2831,
|
1317 |
+
"step": 2180
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 1.96,
|
1321 |
+
"learning_rate": 2.087808378832934e-08,
|
1322 |
+
"loss": 0.286,
|
1323 |
+
"step": 2190
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 1.97,
|
1327 |
+
"learning_rate": 1.2789058114156538e-08,
|
1328 |
+
"loss": 0.2816,
|
1329 |
+
"step": 2200
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 1.98,
|
1333 |
+
"learning_rate": 6.671516297606095e-09,
|
1334 |
+
"loss": 0.2822,
|
1335 |
+
"step": 2210
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 1.98,
|
1339 |
+
"learning_rate": 2.5266659465883468e-09,
|
1340 |
+
"loss": 0.2888,
|
1341 |
+
"step": 2220
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 1.99,
|
1345 |
+
"learning_rate": 3.553252580557054e-10,
|
1346 |
+
"loss": 0.2791,
|
1347 |
+
"step": 2230
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 2.0,
|
1351 |
+
"step": 2236,
|
1352 |
+
"total_flos": 3195475226787840.0,
|
1353 |
+
"train_loss": 0.3625062153889583,
|
1354 |
+
"train_runtime": 97159.7175,
|
1355 |
+
"train_samples_per_second": 5.892,
|
1356 |
+
"train_steps_per_second": 0.023
|
1357 |
+
}
|
1358 |
+
],
|
1359 |
+
"logging_steps": 10,
|
1360 |
+
"max_steps": 2236,
|
1361 |
+
"num_train_epochs": 2,
|
1362 |
+
"save_steps": 500,
|
1363 |
+
"total_flos": 3195475226787840.0,
|
1364 |
+
"trial_name": null,
|
1365 |
+
"trial_params": null
|
1366 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:22067270070a3792a30ed1c29daf62116d344ebb06dbd6f8efb23af20a90039e
|
3 |
+
size 6075
|
training_loss.svg
ADDED