KareemElzeky
commited on
Upload folder using huggingface_hub
Browse files- config.json +72 -0
- generation_config.json +7 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +228 -0
- trainer_state.json +777 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "deepseek-ai/deepseek-coder-1.3b-base",
|
3 |
+
"architectures": [
|
4 |
+
"DetikzifyForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 32013,
|
9 |
+
"concat_patches": 2,
|
10 |
+
"eos_token_id": 32014,
|
11 |
+
"feature_layer": 26,
|
12 |
+
"head_dim": 128,
|
13 |
+
"hidden_act": "silu",
|
14 |
+
"hidden_size": 2048,
|
15 |
+
"initializer_range": 0.02,
|
16 |
+
"intermediate_size": 5504,
|
17 |
+
"max_position_embeddings": 16384,
|
18 |
+
"mlp_bias": false,
|
19 |
+
"mm_hidden_size": 2304,
|
20 |
+
"model_type": "detikzify",
|
21 |
+
"num_attention_heads": 16,
|
22 |
+
"num_hidden_layers": 24,
|
23 |
+
"num_key_value_heads": 16,
|
24 |
+
"num_patches": 364,
|
25 |
+
"patch_token_id": 32013,
|
26 |
+
"pretraining_tp": 1,
|
27 |
+
"rms_norm_eps": 1e-06,
|
28 |
+
"rope_scaling": {
|
29 |
+
"factor": 4.0,
|
30 |
+
"rope_type": "linear",
|
31 |
+
"type": "linear"
|
32 |
+
},
|
33 |
+
"rope_theta": 100000,
|
34 |
+
"tie_word_embeddings": false,
|
35 |
+
"torch_dtype": "float32",
|
36 |
+
"transformers_version": "4.46.2",
|
37 |
+
"use_cache": false,
|
38 |
+
"use_mm_proj": true,
|
39 |
+
"vision_config": {
|
40 |
+
"architecture": "vit_so400m_patch14_siglip_384",
|
41 |
+
"classifier": "head",
|
42 |
+
"crop_mode": "center",
|
43 |
+
"crop_pct": 0.9,
|
44 |
+
"custom_load": false,
|
45 |
+
"first_conv": "patch_embed.proj",
|
46 |
+
"fixed_input_size": true,
|
47 |
+
"hf_hub_filename": "open_clip_pytorch_model.bin",
|
48 |
+
"hf_hub_id": "timm/ViT-SO400M-14-SigLIP-384",
|
49 |
+
"input_size": [
|
50 |
+
3,
|
51 |
+
384,
|
52 |
+
384
|
53 |
+
],
|
54 |
+
"interpolation": "bicubic",
|
55 |
+
"mean": [
|
56 |
+
0.5,
|
57 |
+
0.5,
|
58 |
+
0.5
|
59 |
+
],
|
60 |
+
"num_classes": 0,
|
61 |
+
"pool_size": null,
|
62 |
+
"std": [
|
63 |
+
0.5,
|
64 |
+
0.5,
|
65 |
+
0.5
|
66 |
+
],
|
67 |
+
"tag": "webli",
|
68 |
+
"url": ""
|
69 |
+
},
|
70 |
+
"vision_tower": "vit_so400m_patch14_siglip_384.webli",
|
71 |
+
"vocab_size": 32256
|
72 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 32013,
|
4 |
+
"eos_token_id": 32014,
|
5 |
+
"pad_token_id": 32018,
|
6 |
+
"transformers_version": "4.46.2"
|
7 |
+
}
|
model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0183ae9a8c3c9c1ddaeafcb0f1979d49fb7c66c9ab61db07ce8bf14c1571334e
|
3 |
+
size 4986380064
|
model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f5381661b30b86602ae8e1f1b01b2387bc529c4481f25ba007143812b6610e66
|
3 |
+
size 418415560
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,228 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 5404770304
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
161 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
162 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
163 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
164 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
165 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
170 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
172 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
174 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
176 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
177 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
179 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
180 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
184 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
186 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
188 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
190 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
192 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
193 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
194 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
196 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
198 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
200 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
201 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
202 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
203 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
204 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
205 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
206 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
207 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
208 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
209 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
210 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
211 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
212 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
213 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
214 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
215 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
216 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
217 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
218 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
219 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
220 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
221 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
222 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
223 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
224 |
+
"model.mm_projector.bias": "model-00002-of-00002.safetensors",
|
225 |
+
"model.mm_projector.weight": "model-00002-of-00002.safetensors",
|
226 |
+
"model.norm.weight": "model-00002-of-00002.safetensors"
|
227 |
+
}
|
228 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,777 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.996154016179656,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1059,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02829229477034614,
|
13 |
+
"grad_norm": 94.11492156982422,
|
14 |
+
"learning_rate": 1.25e-05,
|
15 |
+
"loss": 0.8265,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.05658458954069228,
|
20 |
+
"grad_norm": 75.07470703125,
|
21 |
+
"learning_rate": 2.5e-05,
|
22 |
+
"loss": 0.737,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.08487688431103842,
|
27 |
+
"grad_norm": 63.67890930175781,
|
28 |
+
"learning_rate": 3.7500000000000003e-05,
|
29 |
+
"loss": 0.7199,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.11316917908138456,
|
34 |
+
"grad_norm": 64.5537109375,
|
35 |
+
"learning_rate": 3.9994011512354455e-05,
|
36 |
+
"loss": 0.7145,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.1414614738517307,
|
41 |
+
"grad_norm": 63.26422119140625,
|
42 |
+
"learning_rate": 3.996968942743186e-05,
|
43 |
+
"loss": 0.6906,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.16975376862207683,
|
48 |
+
"grad_norm": 52.657257080078125,
|
49 |
+
"learning_rate": 3.9926682204807304e-05,
|
50 |
+
"loss": 0.6766,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.19804606339242298,
|
55 |
+
"grad_norm": 55.939781188964844,
|
56 |
+
"learning_rate": 3.986503008526067e-05,
|
57 |
+
"loss": 0.6663,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.22633835816276912,
|
62 |
+
"grad_norm": 49.46023941040039,
|
63 |
+
"learning_rate": 3.978479075513446e-05,
|
64 |
+
"loss": 0.6651,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.25463065293311526,
|
69 |
+
"grad_norm": 53.444976806640625,
|
70 |
+
"learning_rate": 3.968603929235803e-05,
|
71 |
+
"loss": 0.6687,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.2829229477034614,
|
76 |
+
"grad_norm": 49.93338394165039,
|
77 |
+
"learning_rate": 3.956886809619913e-05,
|
78 |
+
"loss": 0.6596,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.3112152424738075,
|
83 |
+
"grad_norm": 54.019474029541016,
|
84 |
+
"learning_rate": 3.94333868008082e-05,
|
85 |
+
"loss": 0.6334,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.33950753724415367,
|
90 |
+
"grad_norm": 49.52291488647461,
|
91 |
+
"learning_rate": 3.927972217263646e-05,
|
92 |
+
"loss": 0.636,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.3677998320144998,
|
97 |
+
"grad_norm": 46.9410400390625,
|
98 |
+
"learning_rate": 3.9108017991823674e-05,
|
99 |
+
"loss": 0.6273,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.39609212678484595,
|
104 |
+
"grad_norm": 48.465641021728516,
|
105 |
+
"learning_rate": 3.891843491766674e-05,
|
106 |
+
"loss": 0.6225,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.42438442155519207,
|
111 |
+
"grad_norm": 47.92714309692383,
|
112 |
+
"learning_rate": 3.871115033829478e-05,
|
113 |
+
"loss": 0.6358,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.45267671632553824,
|
118 |
+
"grad_norm": 47.684757232666016,
|
119 |
+
"learning_rate": 3.8486358204691505e-05,
|
120 |
+
"loss": 0.6201,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.48096901109588436,
|
125 |
+
"grad_norm": 48.77947235107422,
|
126 |
+
"learning_rate": 3.824426884922018e-05,
|
127 |
+
"loss": 0.6139,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.5092613058662305,
|
132 |
+
"grad_norm": 49.815006256103516,
|
133 |
+
"learning_rate": 3.798510878882086e-05,
|
134 |
+
"loss": 0.6247,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.5375536006365766,
|
139 |
+
"grad_norm": 49.60624694824219,
|
140 |
+
"learning_rate": 3.7709120513064196e-05,
|
141 |
+
"loss": 0.6125,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.5658458954069228,
|
146 |
+
"grad_norm": 47.29824447631836,
|
147 |
+
"learning_rate": 3.741656225726005e-05,
|
148 |
+
"loss": 0.6129,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.5941381901772689,
|
153 |
+
"grad_norm": 50.14078903198242,
|
154 |
+
"learning_rate": 3.710770776083311e-05,
|
155 |
+
"loss": 0.5902,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.622430484947615,
|
160 |
+
"grad_norm": 48.83024215698242,
|
161 |
+
"learning_rate": 3.6782846011191855e-05,
|
162 |
+
"loss": 0.6121,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.6507227797179612,
|
167 |
+
"grad_norm": 45.325504302978516,
|
168 |
+
"learning_rate": 3.644228097333025e-05,
|
169 |
+
"loss": 0.6009,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.6790150744883073,
|
174 |
+
"grad_norm": 51.53373718261719,
|
175 |
+
"learning_rate": 3.60863313054153e-05,
|
176 |
+
"loss": 0.6118,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.7073073692586535,
|
181 |
+
"grad_norm": 44.46132278442383,
|
182 |
+
"learning_rate": 3.571533006062664e-05,
|
183 |
+
"loss": 0.6042,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.7355996640289996,
|
188 |
+
"grad_norm": 47.890625,
|
189 |
+
"learning_rate": 3.5329624375527e-05,
|
190 |
+
"loss": 0.6029,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.7638919587993458,
|
195 |
+
"grad_norm": 45.87557601928711,
|
196 |
+
"learning_rate": 3.492957514525522e-05,
|
197 |
+
"loss": 0.5924,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.7921842535696919,
|
202 |
+
"grad_norm": 46.6375617980957,
|
203 |
+
"learning_rate": 3.4515556685845706e-05,
|
204 |
+
"loss": 0.5839,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.820476548340038,
|
209 |
+
"grad_norm": 46.20927810668945,
|
210 |
+
"learning_rate": 3.4087956383990355e-05,
|
211 |
+
"loss": 0.5976,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.8487688431103841,
|
216 |
+
"grad_norm": 44.299476623535156,
|
217 |
+
"learning_rate": 3.36471743345705e-05,
|
218 |
+
"loss": 0.5871,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.8770611378807303,
|
223 |
+
"grad_norm": 44.8925895690918,
|
224 |
+
"learning_rate": 3.3193622966298155e-05,
|
225 |
+
"loss": 0.5729,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.9053534326510765,
|
230 |
+
"grad_norm": 43.60881042480469,
|
231 |
+
"learning_rate": 3.272772665581681e-05,
|
232 |
+
"loss": 0.5951,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.9336457274214226,
|
237 |
+
"grad_norm": 44.73467254638672,
|
238 |
+
"learning_rate": 3.2249921330622894e-05,
|
239 |
+
"loss": 0.5865,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.9619380221917687,
|
244 |
+
"grad_norm": 44.39530563354492,
|
245 |
+
"learning_rate": 3.176065406117928e-05,
|
246 |
+
"loss": 0.5677,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.9902303169621148,
|
251 |
+
"grad_norm": 45.78221893310547,
|
252 |
+
"learning_rate": 3.126038264260272e-05,
|
253 |
+
"loss": 0.5811,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.018522611732461,
|
258 |
+
"grad_norm": 42.54255676269531,
|
259 |
+
"learning_rate": 3.0749575166316376e-05,
|
260 |
+
"loss": 0.529,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.0468149065028072,
|
265 |
+
"grad_norm": 44.1485595703125,
|
266 |
+
"learning_rate": 3.022870958206845e-05,
|
267 |
+
"loss": 0.5104,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 1.0751072012731533,
|
272 |
+
"grad_norm": 43.59065628051758,
|
273 |
+
"learning_rate": 2.9698273250726593e-05,
|
274 |
+
"loss": 0.4912,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.1033994960434994,
|
279 |
+
"grad_norm": 47.90654373168945,
|
280 |
+
"learning_rate": 2.915876248826653e-05,
|
281 |
+
"loss": 0.5007,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.1316917908138455,
|
286 |
+
"grad_norm": 48.12900924682617,
|
287 |
+
"learning_rate": 2.861068210138169e-05,
|
288 |
+
"loss": 0.4924,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 1.1599840855841916,
|
293 |
+
"grad_norm": 45.788028717041016,
|
294 |
+
"learning_rate": 2.8054544915148163e-05,
|
295 |
+
"loss": 0.4999,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.1882763803545378,
|
300 |
+
"grad_norm": 48.016265869140625,
|
301 |
+
"learning_rate": 2.7490871293187226e-05,
|
302 |
+
"loss": 0.4968,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 1.2165686751248839,
|
307 |
+
"grad_norm": 47.503753662109375,
|
308 |
+
"learning_rate": 2.69201886507741e-05,
|
309 |
+
"loss": 0.4911,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 1.24486096989523,
|
314 |
+
"grad_norm": 43.9008674621582,
|
315 |
+
"learning_rate": 2.6343030961348684e-05,
|
316 |
+
"loss": 0.4914,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.2731532646655763,
|
321 |
+
"grad_norm": 51.55910110473633,
|
322 |
+
"learning_rate": 2.575993825689005e-05,
|
323 |
+
"loss": 0.4984,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.3014455594359224,
|
328 |
+
"grad_norm": 46.89332962036133,
|
329 |
+
"learning_rate": 2.5171456122622006e-05,
|
330 |
+
"loss": 0.4913,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 1.3297378542062686,
|
335 |
+
"grad_norm": 45.62400817871094,
|
336 |
+
"learning_rate": 2.4578135186522716e-05,
|
337 |
+
"loss": 0.4908,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 1.3580301489766147,
|
342 |
+
"grad_norm": 43.19487380981445,
|
343 |
+
"learning_rate": 2.3980530604115896e-05,
|
344 |
+
"loss": 0.4899,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 1.3863224437469608,
|
349 |
+
"grad_norm": 47.675411224365234,
|
350 |
+
"learning_rate": 2.337920153902571e-05,
|
351 |
+
"loss": 0.5022,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.414614738517307,
|
356 |
+
"grad_norm": 46.81362533569336,
|
357 |
+
"learning_rate": 2.277471063978137e-05,
|
358 |
+
"loss": 0.497,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.442907033287653,
|
363 |
+
"grad_norm": 43.024845123291016,
|
364 |
+
"learning_rate": 2.2167623513361045e-05,
|
365 |
+
"loss": 0.486,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.4711993280579991,
|
370 |
+
"grad_norm": 48.46063995361328,
|
371 |
+
"learning_rate": 2.1558508195967576e-05,
|
372 |
+
"loss": 0.4925,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.4994916228283452,
|
377 |
+
"grad_norm": 45.760868072509766,
|
378 |
+
"learning_rate": 2.0947934621531258e-05,
|
379 |
+
"loss": 0.4904,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.5277839175986916,
|
384 |
+
"grad_norm": 50.22765350341797,
|
385 |
+
"learning_rate": 2.0336474088436904e-05,
|
386 |
+
"loss": 0.4893,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.5560762123690375,
|
391 |
+
"grad_norm": 46.728614807128906,
|
392 |
+
"learning_rate": 1.9724698724974343e-05,
|
393 |
+
"loss": 0.4863,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.5843685071393838,
|
398 |
+
"grad_norm": 47.76382064819336,
|
399 |
+
"learning_rate": 1.9113180954012247e-05,
|
400 |
+
"loss": 0.4944,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.61266080190973,
|
405 |
+
"grad_norm": 49.77993392944336,
|
406 |
+
"learning_rate": 1.8502492957396484e-05,
|
407 |
+
"loss": 0.4774,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.640953096680076,
|
412 |
+
"grad_norm": 46.18117904663086,
|
413 |
+
"learning_rate": 1.7893206140573852e-05,
|
414 |
+
"loss": 0.4694,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 1.6692453914504222,
|
419 |
+
"grad_norm": 46.24747085571289,
|
420 |
+
"learning_rate": 1.7285890597942336e-05,
|
421 |
+
"loss": 0.4756,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.6975376862207683,
|
426 |
+
"grad_norm": 46.43058776855469,
|
427 |
+
"learning_rate": 1.668111457942811e-05,
|
428 |
+
"loss": 0.4783,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.7258299809911144,
|
433 |
+
"grad_norm": 46.958919525146484,
|
434 |
+
"learning_rate": 1.607944395878828e-05,
|
435 |
+
"loss": 0.4776,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.7541222757614605,
|
440 |
+
"grad_norm": 42.604576110839844,
|
441 |
+
"learning_rate": 1.548144170413705e-05,
|
442 |
+
"loss": 0.4751,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.7824145705318069,
|
447 |
+
"grad_norm": 46.214046478271484,
|
448 |
+
"learning_rate": 1.4887667351190508e-05,
|
449 |
+
"loss": 0.4736,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.8107068653021527,
|
454 |
+
"grad_norm": 46.578739166259766,
|
455 |
+
"learning_rate": 1.4298676479723158e-05,
|
456 |
+
"loss": 0.4765,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.838999160072499,
|
461 |
+
"grad_norm": 49.75358581542969,
|
462 |
+
"learning_rate": 1.3715020193725801e-05,
|
463 |
+
"loss": 0.4639,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.867291454842845,
|
468 |
+
"grad_norm": 49.36628341674805,
|
469 |
+
"learning_rate": 1.3137244605751364e-05,
|
470 |
+
"loss": 0.4865,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.8955837496131913,
|
475 |
+
"grad_norm": 49.271121978759766,
|
476 |
+
"learning_rate": 1.2565890325931096e-05,
|
477 |
+
"loss": 0.4635,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.9238760443835374,
|
482 |
+
"grad_norm": 42.75962829589844,
|
483 |
+
"learning_rate": 1.2001491956139177e-05,
|
484 |
+
"loss": 0.4753,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.9521683391538835,
|
489 |
+
"grad_norm": 44.49867630004883,
|
490 |
+
"learning_rate": 1.1444577589779206e-05,
|
491 |
+
"loss": 0.4657,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.9804606339242297,
|
496 |
+
"grad_norm": 46.07305908203125,
|
497 |
+
"learning_rate": 1.0895668317660404e-05,
|
498 |
+
"loss": 0.4668,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 2.008752928694576,
|
503 |
+
"grad_norm": 53.604557037353516,
|
504 |
+
"learning_rate": 1.0355277740426017e-05,
|
505 |
+
"loss": 0.444,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 2.037045223464922,
|
510 |
+
"grad_norm": 52.05387878417969,
|
511 |
+
"learning_rate": 9.823911487990083e-06,
|
512 |
+
"loss": 0.3918,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 2.065337518235268,
|
517 |
+
"grad_norm": 52.156349182128906,
|
518 |
+
"learning_rate": 9.302066746432183e-06,
|
519 |
+
"loss": 0.387,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 2.0936298130056143,
|
524 |
+
"grad_norm": 51.72985076904297,
|
525 |
+
"learning_rate": 8.790231792792914e-06,
|
526 |
+
"loss": 0.3875,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 2.1219221077759602,
|
531 |
+
"grad_norm": 53.109046936035156,
|
532 |
+
"learning_rate": 8.28888553820526e-06,
|
533 |
+
"loss": 0.3921,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 2.1502144025463066,
|
538 |
+
"grad_norm": 51.85807418823242,
|
539 |
+
"learning_rate": 7.798497079789513e-06,
|
540 |
+
"loss": 0.3933,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 2.1785066973166525,
|
545 |
+
"grad_norm": 53.21246337890625,
|
546 |
+
"learning_rate": 7.319525261730822e-06,
|
547 |
+
"loss": 0.3889,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 2.206798992086999,
|
552 |
+
"grad_norm": 52.26942443847656,
|
553 |
+
"learning_rate": 6.852418245950195e-06,
|
554 |
+
"loss": 0.3938,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 2.235091286857345,
|
559 |
+
"grad_norm": 52.105838775634766,
|
560 |
+
"learning_rate": 6.397613092770641e-06,
|
561 |
+
"loss": 0.3934,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 2.263383581627691,
|
566 |
+
"grad_norm": 50.32993698120117,
|
567 |
+
"learning_rate": 5.955535351970754e-06,
|
568 |
+
"loss": 0.3884,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 2.2916758763980374,
|
573 |
+
"grad_norm": 52.58189392089844,
|
574 |
+
"learning_rate": 5.5265986646085e-06,
|
575 |
+
"loss": 0.3894,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 2.3199681711683833,
|
580 |
+
"grad_norm": 51.35353469848633,
|
581 |
+
"learning_rate": 5.111204375987615e-06,
|
582 |
+
"loss": 0.385,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 2.3482604659387296,
|
587 |
+
"grad_norm": 52.65754318237305,
|
588 |
+
"learning_rate": 4.709741160128878e-06,
|
589 |
+
"loss": 0.372,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 2.3765527607090755,
|
594 |
+
"grad_norm": 52.932281494140625,
|
595 |
+
"learning_rate": 4.322584656097577e-06,
|
596 |
+
"loss": 0.3782,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 2.404845055479422,
|
601 |
+
"grad_norm": 48.66704177856445,
|
602 |
+
"learning_rate": 3.950097116527449e-06,
|
603 |
+
"loss": 0.3919,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 2.4331373502497677,
|
608 |
+
"grad_norm": 52.752803802490234,
|
609 |
+
"learning_rate": 3.592627068669983e-06,
|
610 |
+
"loss": 0.3823,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 2.461429645020114,
|
615 |
+
"grad_norm": 52.2065544128418,
|
616 |
+
"learning_rate": 3.2505089882861964e-06,
|
617 |
+
"loss": 0.3767,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 2.48972193979046,
|
622 |
+
"grad_norm": 50.5092887878418,
|
623 |
+
"learning_rate": 2.9240629866860538e-06,
|
624 |
+
"loss": 0.3719,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 2.5180142345608063,
|
629 |
+
"grad_norm": 54.0071907043457,
|
630 |
+
"learning_rate": 2.6135945112083506e-06,
|
631 |
+
"loss": 0.3793,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.5463065293311526,
|
636 |
+
"grad_norm": 51.075164794921875,
|
637 |
+
"learning_rate": 2.3193940594212917e-06,
|
638 |
+
"loss": 0.3789,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 2.5745988241014985,
|
643 |
+
"grad_norm": 53.48076629638672,
|
644 |
+
"learning_rate": 2.0417369073111936e-06,
|
645 |
+
"loss": 0.3817,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 2.602891118871845,
|
650 |
+
"grad_norm": 54.31864929199219,
|
651 |
+
"learning_rate": 1.7808828517136612e-06,
|
652 |
+
"loss": 0.3857,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 2.6311834136421908,
|
657 |
+
"grad_norm": 51.0897216796875,
|
658 |
+
"learning_rate": 1.5370759672281744e-06,
|
659 |
+
"loss": 0.3776,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 2.659475708412537,
|
664 |
+
"grad_norm": 53.861427307128906,
|
665 |
+
"learning_rate": 1.3105443778436388e-06,
|
666 |
+
"loss": 0.3766,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 2.687768003182883,
|
671 |
+
"grad_norm": 49.185302734375,
|
672 |
+
"learning_rate": 1.1015000434884682e-06,
|
673 |
+
"loss": 0.384,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.7160602979532293,
|
678 |
+
"grad_norm": 53.21417999267578,
|
679 |
+
"learning_rate": 9.101385617050007e-07,
|
680 |
+
"loss": 0.3723,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 2.7443525927235752,
|
685 |
+
"grad_norm": 54.70134353637695,
|
686 |
+
"learning_rate": 7.366389846337841e-07,
|
687 |
+
"loss": 0.3815,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 2.7726448874939216,
|
692 |
+
"grad_norm": 53.2882194519043,
|
693 |
+
"learning_rate": 5.811636514789598e-07,
|
694 |
+
"loss": 0.3806,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 2.800937182264268,
|
699 |
+
"grad_norm": 52.69584274291992,
|
700 |
+
"learning_rate": 4.43858036611573e-07,
|
701 |
+
"loss": 0.3814,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 2.829229477034614,
|
706 |
+
"grad_norm": 55.783634185791016,
|
707 |
+
"learning_rate": 3.2485061345282286e-07,
|
708 |
+
"loss": 0.3838,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 2.85752177180496,
|
713 |
+
"grad_norm": 49.773502349853516,
|
714 |
+
"learning_rate": 2.2425273426471162e-07,
|
715 |
+
"loss": 0.3829,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 2.885814066575306,
|
720 |
+
"grad_norm": 50.421417236328125,
|
721 |
+
"learning_rate": 1.421585259605318e-07,
|
722 |
+
"loss": 0.3802,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 2.9141063613456524,
|
727 |
+
"grad_norm": 56.082252502441406,
|
728 |
+
"learning_rate": 7.864480203266356e-08,
|
729 |
+
"loss": 0.3815,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 2.9423986561159983,
|
734 |
+
"grad_norm": 52.35788345336914,
|
735 |
+
"learning_rate": 3.37709906801198e-08,
|
736 |
+
"loss": 0.3846,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 2.9706909508863446,
|
741 |
+
"grad_norm": 51.95500564575195,
|
742 |
+
"learning_rate": 7.579079203074991e-09,
|
743 |
+
"loss": 0.3727,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 2.996154016179656,
|
748 |
+
"step": 1059,
|
749 |
+
"total_flos": 9.569143748664361e+17,
|
750 |
+
"train_loss": 0.5005588545002275,
|
751 |
+
"train_runtime": 18779.252,
|
752 |
+
"train_samples_per_second": 7.227,
|
753 |
+
"train_steps_per_second": 0.056
|
754 |
+
}
|
755 |
+
],
|
756 |
+
"logging_steps": 10,
|
757 |
+
"max_steps": 1059,
|
758 |
+
"num_input_tokens_seen": 0,
|
759 |
+
"num_train_epochs": 3,
|
760 |
+
"save_steps": 500,
|
761 |
+
"stateful_callbacks": {
|
762 |
+
"TrainerControl": {
|
763 |
+
"args": {
|
764 |
+
"should_epoch_stop": false,
|
765 |
+
"should_evaluate": false,
|
766 |
+
"should_log": false,
|
767 |
+
"should_save": true,
|
768 |
+
"should_training_stop": true
|
769 |
+
},
|
770 |
+
"attributes": {}
|
771 |
+
}
|
772 |
+
},
|
773 |
+
"total_flos": 9.569143748664361e+17,
|
774 |
+
"train_batch_size": 1,
|
775 |
+
"trial_name": null,
|
776 |
+
"trial_params": null
|
777 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41af23b2587193d2b8b4bb7a5278d799739d44dae9cc2f64568bfb087a9fdb5c
|
3 |
+
size 5304
|