Upload 8 files
Browse files- config.json +34 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- preprocessor_config.json +22 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +798 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-large-patch16-224",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 1024,
|
11 |
+
"id2label": {
|
12 |
+
"0": "calcificaciones",
|
13 |
+
"1": "masas",
|
14 |
+
"2": "no_encontrado"
|
15 |
+
},
|
16 |
+
"image_size": 224,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 4096,
|
19 |
+
"label2id": {
|
20 |
+
"calcificaciones": 0,
|
21 |
+
"masas": 1,
|
22 |
+
"no_encontrado": 2
|
23 |
+
},
|
24 |
+
"layer_norm_eps": 1e-12,
|
25 |
+
"model_type": "vit",
|
26 |
+
"num_attention_heads": 16,
|
27 |
+
"num_channels": 3,
|
28 |
+
"num_hidden_layers": 24,
|
29 |
+
"patch_size": 16,
|
30 |
+
"problem_type": "single_label_classification",
|
31 |
+
"qkv_bias": true,
|
32 |
+
"torch_dtype": "float32",
|
33 |
+
"transformers_version": "4.45.1"
|
34 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:10b0782e374d9537f21dd2c122bf3722f292e6e2c171e16ccde56cea965bcb0d
|
3 |
+
size 1213265372
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5d6de43352acbfe72d0cb1676cf10eeeb4519111c291d231b24be87a7a4a1645
|
3 |
+
size 503940154
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessorFast",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3ce3a3c05ac42196e5ce20babc07ba298e3f4439fa1b4712cb2e14c382e65881
|
3 |
+
size 13990
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0edc849a55daef37f3913f72b0ae54d705cb645843af555e57da8ec176190095
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,798 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6901677250862122,
|
3 |
+
"best_model_checkpoint": "SavedModels/ViT-large-patch16-224_B/checkpoint-1128",
|
4 |
+
"epoch": 20.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 7520,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.26595744680851063,
|
13 |
+
"grad_norm": 16.918853759765625,
|
14 |
+
"learning_rate": 0.0002920212765957447,
|
15 |
+
"loss": 1.0273,
|
16 |
+
"step": 100
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.5319148936170213,
|
20 |
+
"grad_norm": 8.12959098815918,
|
21 |
+
"learning_rate": 0.00028404255319148934,
|
22 |
+
"loss": 0.8052,
|
23 |
+
"step": 200
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.7978723404255319,
|
27 |
+
"grad_norm": 4.803711891174316,
|
28 |
+
"learning_rate": 0.00027606382978723404,
|
29 |
+
"loss": 0.7818,
|
30 |
+
"step": 300
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 1.0,
|
34 |
+
"eval_accuracy": 0.6693333333333333,
|
35 |
+
"eval_f1": 0.6679277175440698,
|
36 |
+
"eval_loss": 0.7451461553573608,
|
37 |
+
"eval_precision": 0.6665516663433287,
|
38 |
+
"eval_recall": 0.6708336668000534,
|
39 |
+
"eval_runtime": 34.5448,
|
40 |
+
"eval_samples_per_second": 21.711,
|
41 |
+
"eval_steps_per_second": 2.721,
|
42 |
+
"step": 376
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 1.0638297872340425,
|
46 |
+
"grad_norm": 5.264636516571045,
|
47 |
+
"learning_rate": 0.0002680851063829787,
|
48 |
+
"loss": 0.7518,
|
49 |
+
"step": 400
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 1.3297872340425532,
|
53 |
+
"grad_norm": 6.721948146820068,
|
54 |
+
"learning_rate": 0.0002601063829787234,
|
55 |
+
"loss": 0.7153,
|
56 |
+
"step": 500
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 1.5957446808510638,
|
60 |
+
"grad_norm": 5.855480670928955,
|
61 |
+
"learning_rate": 0.00025212765957446806,
|
62 |
+
"loss": 0.6854,
|
63 |
+
"step": 600
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 1.8617021276595744,
|
67 |
+
"grad_norm": 5.206683158874512,
|
68 |
+
"learning_rate": 0.0002441489361702127,
|
69 |
+
"loss": 0.6975,
|
70 |
+
"step": 700
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 2.0,
|
74 |
+
"eval_accuracy": 0.652,
|
75 |
+
"eval_f1": 0.6527448850868924,
|
76 |
+
"eval_loss": 0.737027108669281,
|
77 |
+
"eval_precision": 0.6598586784457597,
|
78 |
+
"eval_recall": 0.6519173002534348,
|
79 |
+
"eval_runtime": 34.5417,
|
80 |
+
"eval_samples_per_second": 21.713,
|
81 |
+
"eval_steps_per_second": 2.721,
|
82 |
+
"step": 752
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 2.127659574468085,
|
86 |
+
"grad_norm": 6.592344760894775,
|
87 |
+
"learning_rate": 0.00023617021276595742,
|
88 |
+
"loss": 0.6174,
|
89 |
+
"step": 800
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 2.393617021276596,
|
93 |
+
"grad_norm": 4.732657432556152,
|
94 |
+
"learning_rate": 0.0002281914893617021,
|
95 |
+
"loss": 0.644,
|
96 |
+
"step": 900
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 2.6595744680851063,
|
100 |
+
"grad_norm": 5.618279933929443,
|
101 |
+
"learning_rate": 0.00022021276595744679,
|
102 |
+
"loss": 0.6098,
|
103 |
+
"step": 1000
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"epoch": 2.925531914893617,
|
107 |
+
"grad_norm": 4.702358245849609,
|
108 |
+
"learning_rate": 0.0002122340425531915,
|
109 |
+
"loss": 0.5934,
|
110 |
+
"step": 1100
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 3.0,
|
114 |
+
"eval_accuracy": 0.6826666666666666,
|
115 |
+
"eval_f1": 0.6716423210919009,
|
116 |
+
"eval_loss": 0.6901677250862122,
|
117 |
+
"eval_precision": 0.680882951010493,
|
118 |
+
"eval_recall": 0.6834541816726691,
|
119 |
+
"eval_runtime": 35.1911,
|
120 |
+
"eval_samples_per_second": 21.312,
|
121 |
+
"eval_steps_per_second": 2.671,
|
122 |
+
"step": 1128
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 3.1914893617021276,
|
126 |
+
"grad_norm": 4.94950008392334,
|
127 |
+
"learning_rate": 0.00020425531914893615,
|
128 |
+
"loss": 0.4998,
|
129 |
+
"step": 1200
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 3.4574468085106385,
|
133 |
+
"grad_norm": 4.887601375579834,
|
134 |
+
"learning_rate": 0.00019627659574468083,
|
135 |
+
"loss": 0.5384,
|
136 |
+
"step": 1300
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 3.723404255319149,
|
140 |
+
"grad_norm": 5.762096881866455,
|
141 |
+
"learning_rate": 0.0001882978723404255,
|
142 |
+
"loss": 0.5035,
|
143 |
+
"step": 1400
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 3.9893617021276597,
|
147 |
+
"grad_norm": 5.000032424926758,
|
148 |
+
"learning_rate": 0.0001803191489361702,
|
149 |
+
"loss": 0.4943,
|
150 |
+
"step": 1500
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 4.0,
|
154 |
+
"eval_accuracy": 0.68,
|
155 |
+
"eval_f1": 0.6607042226524314,
|
156 |
+
"eval_loss": 0.7506471872329712,
|
157 |
+
"eval_precision": 0.6727589541740554,
|
158 |
+
"eval_recall": 0.6823892223556088,
|
159 |
+
"eval_runtime": 34.4906,
|
160 |
+
"eval_samples_per_second": 21.745,
|
161 |
+
"eval_steps_per_second": 2.725,
|
162 |
+
"step": 1504
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 4.25531914893617,
|
166 |
+
"grad_norm": 7.737178325653076,
|
167 |
+
"learning_rate": 0.0001723404255319149,
|
168 |
+
"loss": 0.3581,
|
169 |
+
"step": 1600
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 4.5212765957446805,
|
173 |
+
"grad_norm": 5.353149890899658,
|
174 |
+
"learning_rate": 0.00016436170212765956,
|
175 |
+
"loss": 0.3857,
|
176 |
+
"step": 1700
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 4.787234042553192,
|
180 |
+
"grad_norm": 5.475671768188477,
|
181 |
+
"learning_rate": 0.00015638297872340426,
|
182 |
+
"loss": 0.3625,
|
183 |
+
"step": 1800
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 5.0,
|
187 |
+
"eval_accuracy": 0.6693333333333333,
|
188 |
+
"eval_f1": 0.6583454266829142,
|
189 |
+
"eval_loss": 0.9006826281547546,
|
190 |
+
"eval_precision": 0.6655033443649184,
|
191 |
+
"eval_recall": 0.6717070828331333,
|
192 |
+
"eval_runtime": 34.3021,
|
193 |
+
"eval_samples_per_second": 21.865,
|
194 |
+
"eval_steps_per_second": 2.74,
|
195 |
+
"step": 1880
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 5.053191489361702,
|
199 |
+
"grad_norm": 8.006985664367676,
|
200 |
+
"learning_rate": 0.00014840425531914892,
|
201 |
+
"loss": 0.3767,
|
202 |
+
"step": 1900
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 5.319148936170213,
|
206 |
+
"grad_norm": 8.51475715637207,
|
207 |
+
"learning_rate": 0.0001404255319148936,
|
208 |
+
"loss": 0.2824,
|
209 |
+
"step": 2000
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 5.585106382978723,
|
213 |
+
"grad_norm": 8.186362266540527,
|
214 |
+
"learning_rate": 0.00013244680851063828,
|
215 |
+
"loss": 0.2434,
|
216 |
+
"step": 2100
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 5.851063829787234,
|
220 |
+
"grad_norm": 6.735799312591553,
|
221 |
+
"learning_rate": 0.00012446808510638296,
|
222 |
+
"loss": 0.2717,
|
223 |
+
"step": 2200
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 6.0,
|
227 |
+
"eval_accuracy": 0.6586666666666666,
|
228 |
+
"eval_f1": 0.6614425775783358,
|
229 |
+
"eval_loss": 1.0333963632583618,
|
230 |
+
"eval_precision": 0.6652982915561002,
|
231 |
+
"eval_recall": 0.6589942643724156,
|
232 |
+
"eval_runtime": 34.3254,
|
233 |
+
"eval_samples_per_second": 21.85,
|
234 |
+
"eval_steps_per_second": 2.738,
|
235 |
+
"step": 2256
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 6.117021276595745,
|
239 |
+
"grad_norm": 6.987758636474609,
|
240 |
+
"learning_rate": 0.00011648936170212764,
|
241 |
+
"loss": 0.2191,
|
242 |
+
"step": 2300
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 6.382978723404255,
|
246 |
+
"grad_norm": 8.753083229064941,
|
247 |
+
"learning_rate": 0.00010851063829787234,
|
248 |
+
"loss": 0.1532,
|
249 |
+
"step": 2400
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 6.648936170212766,
|
253 |
+
"grad_norm": 6.87877082824707,
|
254 |
+
"learning_rate": 0.00010053191489361702,
|
255 |
+
"loss": 0.172,
|
256 |
+
"step": 2500
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 6.914893617021277,
|
260 |
+
"grad_norm": 8.248693466186523,
|
261 |
+
"learning_rate": 9.25531914893617e-05,
|
262 |
+
"loss": 0.188,
|
263 |
+
"step": 2600
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 7.0,
|
267 |
+
"eval_accuracy": 0.648,
|
268 |
+
"eval_f1": 0.6480604224938936,
|
269 |
+
"eval_loss": 1.3646624088287354,
|
270 |
+
"eval_precision": 0.6474310419368785,
|
271 |
+
"eval_recall": 0.6488264639189009,
|
272 |
+
"eval_runtime": 34.2754,
|
273 |
+
"eval_samples_per_second": 21.882,
|
274 |
+
"eval_steps_per_second": 2.742,
|
275 |
+
"step": 2632
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 7.180851063829787,
|
279 |
+
"grad_norm": 9.565648078918457,
|
280 |
+
"learning_rate": 8.457446808510637e-05,
|
281 |
+
"loss": 0.1344,
|
282 |
+
"step": 2700
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 7.446808510638298,
|
286 |
+
"grad_norm": 10.819112777709961,
|
287 |
+
"learning_rate": 7.659574468085105e-05,
|
288 |
+
"loss": 0.0791,
|
289 |
+
"step": 2800
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 7.712765957446808,
|
293 |
+
"grad_norm": 11.498022079467773,
|
294 |
+
"learning_rate": 6.861702127659574e-05,
|
295 |
+
"loss": 0.0917,
|
296 |
+
"step": 2900
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 7.9787234042553195,
|
300 |
+
"grad_norm": 10.500368118286133,
|
301 |
+
"learning_rate": 6.063829787234042e-05,
|
302 |
+
"loss": 0.0966,
|
303 |
+
"step": 3000
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 8.0,
|
307 |
+
"eval_accuracy": 0.6506666666666666,
|
308 |
+
"eval_f1": 0.6510622640996298,
|
309 |
+
"eval_loss": 1.7121126651763916,
|
310 |
+
"eval_precision": 0.6518027984453844,
|
311 |
+
"eval_recall": 0.6519786581299186,
|
312 |
+
"eval_runtime": 34.2979,
|
313 |
+
"eval_samples_per_second": 21.867,
|
314 |
+
"eval_steps_per_second": 2.741,
|
315 |
+
"step": 3008
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 8.24468085106383,
|
319 |
+
"grad_norm": 10.034985542297363,
|
320 |
+
"learning_rate": 5.26595744680851e-05,
|
321 |
+
"loss": 0.0589,
|
322 |
+
"step": 3100
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 8.51063829787234,
|
326 |
+
"grad_norm": 8.84762954711914,
|
327 |
+
"learning_rate": 4.468085106382978e-05,
|
328 |
+
"loss": 0.0444,
|
329 |
+
"step": 3200
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 8.77659574468085,
|
333 |
+
"grad_norm": 8.717729568481445,
|
334 |
+
"learning_rate": 3.670212765957446e-05,
|
335 |
+
"loss": 0.0492,
|
336 |
+
"step": 3300
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 9.0,
|
340 |
+
"eval_accuracy": 0.664,
|
341 |
+
"eval_f1": 0.6634717422597086,
|
342 |
+
"eval_loss": 2.092434883117676,
|
343 |
+
"eval_precision": 0.6624493384142015,
|
344 |
+
"eval_recall": 0.6648558089902628,
|
345 |
+
"eval_runtime": 34.1372,
|
346 |
+
"eval_samples_per_second": 21.97,
|
347 |
+
"eval_steps_per_second": 2.754,
|
348 |
+
"step": 3384
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 9.042553191489361,
|
352 |
+
"grad_norm": 10.311498641967773,
|
353 |
+
"learning_rate": 2.8723404255319147e-05,
|
354 |
+
"loss": 0.0461,
|
355 |
+
"step": 3400
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 9.308510638297872,
|
359 |
+
"grad_norm": 9.477750778198242,
|
360 |
+
"learning_rate": 2.0744680851063828e-05,
|
361 |
+
"loss": 0.0215,
|
362 |
+
"step": 3500
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 9.574468085106384,
|
366 |
+
"grad_norm": 10.069836616516113,
|
367 |
+
"learning_rate": 1.276595744680851e-05,
|
368 |
+
"loss": 0.0275,
|
369 |
+
"step": 3600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 9.840425531914894,
|
373 |
+
"grad_norm": 9.309320449829102,
|
374 |
+
"learning_rate": 4.7872340425531906e-06,
|
375 |
+
"loss": 0.0198,
|
376 |
+
"step": 3700
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 10.0,
|
380 |
+
"eval_accuracy": 0.6733333333333333,
|
381 |
+
"eval_f1": 0.671461456478878,
|
382 |
+
"eval_loss": 2.349191427230835,
|
383 |
+
"eval_precision": 0.6697804784739011,
|
384 |
+
"eval_recall": 0.6742686407896491,
|
385 |
+
"eval_runtime": 34.2831,
|
386 |
+
"eval_samples_per_second": 21.877,
|
387 |
+
"eval_steps_per_second": 2.742,
|
388 |
+
"step": 3760
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 10.106382978723405,
|
392 |
+
"grad_norm": 4.254685878753662,
|
393 |
+
"learning_rate": 0.00014840425531914892,
|
394 |
+
"loss": 0.1783,
|
395 |
+
"step": 3800
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 10.372340425531915,
|
399 |
+
"grad_norm": 6.5849409103393555,
|
400 |
+
"learning_rate": 0.00014441489361702127,
|
401 |
+
"loss": 0.4254,
|
402 |
+
"step": 3900
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 10.638297872340425,
|
406 |
+
"grad_norm": 6.008872985839844,
|
407 |
+
"learning_rate": 0.0001404255319148936,
|
408 |
+
"loss": 0.3892,
|
409 |
+
"step": 4000
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 10.904255319148936,
|
413 |
+
"grad_norm": 4.886096000671387,
|
414 |
+
"learning_rate": 0.00013643617021276593,
|
415 |
+
"loss": 0.3308,
|
416 |
+
"step": 4100
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 11.0,
|
420 |
+
"eval_accuracy": 0.6413333333333333,
|
421 |
+
"eval_f1": 0.6379586335182581,
|
422 |
+
"eval_loss": 1.2812837362289429,
|
423 |
+
"eval_precision": 0.6360221570265966,
|
424 |
+
"eval_recall": 0.6426586634653862,
|
425 |
+
"eval_runtime": 34.4135,
|
426 |
+
"eval_samples_per_second": 21.794,
|
427 |
+
"eval_steps_per_second": 2.731,
|
428 |
+
"step": 4136
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 11.170212765957446,
|
432 |
+
"grad_norm": 8.697183609008789,
|
433 |
+
"learning_rate": 0.00013244680851063828,
|
434 |
+
"loss": 0.3418,
|
435 |
+
"step": 4200
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 11.436170212765958,
|
439 |
+
"grad_norm": 1.831715703010559,
|
440 |
+
"learning_rate": 0.00012845744680851063,
|
441 |
+
"loss": 0.2892,
|
442 |
+
"step": 4300
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 11.702127659574469,
|
446 |
+
"grad_norm": 5.119130611419678,
|
447 |
+
"learning_rate": 0.00012446808510638296,
|
448 |
+
"loss": 0.2597,
|
449 |
+
"step": 4400
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 11.96808510638298,
|
453 |
+
"grad_norm": 4.450387001037598,
|
454 |
+
"learning_rate": 0.00012047872340425532,
|
455 |
+
"loss": 0.2468,
|
456 |
+
"step": 4500
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 12.0,
|
460 |
+
"eval_accuracy": 0.6693333333333333,
|
461 |
+
"eval_f1": 0.6644005202701936,
|
462 |
+
"eval_loss": 1.343381404876709,
|
463 |
+
"eval_precision": 0.6702673209494008,
|
464 |
+
"eval_recall": 0.6696177137521676,
|
465 |
+
"eval_runtime": 34.1977,
|
466 |
+
"eval_samples_per_second": 21.931,
|
467 |
+
"eval_steps_per_second": 2.749,
|
468 |
+
"step": 4512
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 12.23404255319149,
|
472 |
+
"grad_norm": 0.5507918000221252,
|
473 |
+
"learning_rate": 0.00011648936170212764,
|
474 |
+
"loss": 0.161,
|
475 |
+
"step": 4600
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 12.5,
|
479 |
+
"grad_norm": 3.424229621887207,
|
480 |
+
"learning_rate": 0.0001125,
|
481 |
+
"loss": 0.1698,
|
482 |
+
"step": 4700
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 12.76595744680851,
|
486 |
+
"grad_norm": 10.304464340209961,
|
487 |
+
"learning_rate": 0.00010851063829787234,
|
488 |
+
"loss": 0.1992,
|
489 |
+
"step": 4800
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 13.0,
|
493 |
+
"eval_accuracy": 0.6773333333333333,
|
494 |
+
"eval_f1": 0.6757724702487522,
|
495 |
+
"eval_loss": 1.5172154903411865,
|
496 |
+
"eval_precision": 0.6749943823114556,
|
497 |
+
"eval_recall": 0.6780813658796853,
|
498 |
+
"eval_runtime": 34.5579,
|
499 |
+
"eval_samples_per_second": 21.703,
|
500 |
+
"eval_steps_per_second": 2.72,
|
501 |
+
"step": 4888
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 13.03191489361702,
|
505 |
+
"grad_norm": 0.58838951587677,
|
506 |
+
"learning_rate": 0.00010452127659574466,
|
507 |
+
"loss": 0.153,
|
508 |
+
"step": 4900
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 13.297872340425531,
|
512 |
+
"grad_norm": 4.339015007019043,
|
513 |
+
"learning_rate": 0.00010053191489361702,
|
514 |
+
"loss": 0.0729,
|
515 |
+
"step": 5000
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 13.563829787234042,
|
519 |
+
"grad_norm": 5.353603839874268,
|
520 |
+
"learning_rate": 9.654255319148935e-05,
|
521 |
+
"loss": 0.1182,
|
522 |
+
"step": 5100
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 13.829787234042554,
|
526 |
+
"grad_norm": 0.11711510270833969,
|
527 |
+
"learning_rate": 9.25531914893617e-05,
|
528 |
+
"loss": 0.1391,
|
529 |
+
"step": 5200
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 14.0,
|
533 |
+
"eval_accuracy": 0.688,
|
534 |
+
"eval_f1": 0.6861192542213884,
|
535 |
+
"eval_loss": 1.8793449401855469,
|
536 |
+
"eval_precision": 0.6887025095519409,
|
537 |
+
"eval_recall": 0.6882689075630252,
|
538 |
+
"eval_runtime": 35.0719,
|
539 |
+
"eval_samples_per_second": 21.385,
|
540 |
+
"eval_steps_per_second": 2.68,
|
541 |
+
"step": 5264
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 14.095744680851064,
|
545 |
+
"grad_norm": 16.545928955078125,
|
546 |
+
"learning_rate": 8.856382978723404e-05,
|
547 |
+
"loss": 0.0919,
|
548 |
+
"step": 5300
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 14.361702127659575,
|
552 |
+
"grad_norm": 0.11285369098186493,
|
553 |
+
"learning_rate": 8.457446808510637e-05,
|
554 |
+
"loss": 0.0724,
|
555 |
+
"step": 5400
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 14.627659574468085,
|
559 |
+
"grad_norm": 1.0866966247558594,
|
560 |
+
"learning_rate": 8.058510638297872e-05,
|
561 |
+
"loss": 0.0615,
|
562 |
+
"step": 5500
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 14.893617021276595,
|
566 |
+
"grad_norm": 0.0466451533138752,
|
567 |
+
"learning_rate": 7.659574468085105e-05,
|
568 |
+
"loss": 0.062,
|
569 |
+
"step": 5600
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 15.0,
|
573 |
+
"eval_accuracy": 0.6826666666666666,
|
574 |
+
"eval_f1": 0.6784899933134545,
|
575 |
+
"eval_loss": 2.1949727535247803,
|
576 |
+
"eval_precision": 0.6780378052909217,
|
577 |
+
"eval_recall": 0.6832503668133919,
|
578 |
+
"eval_runtime": 34.2882,
|
579 |
+
"eval_samples_per_second": 21.873,
|
580 |
+
"eval_steps_per_second": 2.741,
|
581 |
+
"step": 5640
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 15.159574468085106,
|
585 |
+
"grad_norm": 1.6346490383148193,
|
586 |
+
"learning_rate": 7.26063829787234e-05,
|
587 |
+
"loss": 0.0477,
|
588 |
+
"step": 5700
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 15.425531914893616,
|
592 |
+
"grad_norm": 0.004013681318610907,
|
593 |
+
"learning_rate": 6.861702127659574e-05,
|
594 |
+
"loss": 0.0484,
|
595 |
+
"step": 5800
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 15.691489361702128,
|
599 |
+
"grad_norm": 0.6463019847869873,
|
600 |
+
"learning_rate": 6.462765957446807e-05,
|
601 |
+
"loss": 0.0389,
|
602 |
+
"step": 5900
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 15.957446808510639,
|
606 |
+
"grad_norm": 0.4977071285247803,
|
607 |
+
"learning_rate": 6.063829787234042e-05,
|
608 |
+
"loss": 0.0392,
|
609 |
+
"step": 6000
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 16.0,
|
613 |
+
"eval_accuracy": 0.6626666666666666,
|
614 |
+
"eval_f1": 0.6599147266673199,
|
615 |
+
"eval_loss": 2.2853217124938965,
|
616 |
+
"eval_precision": 0.6593416101537274,
|
617 |
+
"eval_recall": 0.6640821661998133,
|
618 |
+
"eval_runtime": 34.2142,
|
619 |
+
"eval_samples_per_second": 21.921,
|
620 |
+
"eval_steps_per_second": 2.747,
|
621 |
+
"step": 6016
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 16.22340425531915,
|
625 |
+
"grad_norm": 0.18373289704322815,
|
626 |
+
"learning_rate": 5.6648936170212766e-05,
|
627 |
+
"loss": 0.035,
|
628 |
+
"step": 6100
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 16.48936170212766,
|
632 |
+
"grad_norm": 11.437871932983398,
|
633 |
+
"learning_rate": 5.26595744680851e-05,
|
634 |
+
"loss": 0.0323,
|
635 |
+
"step": 6200
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 16.75531914893617,
|
639 |
+
"grad_norm": 0.04929669201374054,
|
640 |
+
"learning_rate": 4.867021276595744e-05,
|
641 |
+
"loss": 0.0286,
|
642 |
+
"step": 6300
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 17.0,
|
646 |
+
"eval_accuracy": 0.6706666666666666,
|
647 |
+
"eval_f1": 0.6665467903773287,
|
648 |
+
"eval_loss": 2.356433153152466,
|
649 |
+
"eval_precision": 0.6646925224621034,
|
650 |
+
"eval_recall": 0.6718655462184874,
|
651 |
+
"eval_runtime": 34.2754,
|
652 |
+
"eval_samples_per_second": 21.882,
|
653 |
+
"eval_steps_per_second": 2.742,
|
654 |
+
"step": 6392
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 17.02127659574468,
|
658 |
+
"grad_norm": 0.003023180877789855,
|
659 |
+
"learning_rate": 4.468085106382978e-05,
|
660 |
+
"loss": 0.0232,
|
661 |
+
"step": 6400
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 17.28723404255319,
|
665 |
+
"grad_norm": 0.009346798993647099,
|
666 |
+
"learning_rate": 4.069148936170212e-05,
|
667 |
+
"loss": 0.0195,
|
668 |
+
"step": 6500
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 17.5531914893617,
|
672 |
+
"grad_norm": 0.0396982878446579,
|
673 |
+
"learning_rate": 3.670212765957446e-05,
|
674 |
+
"loss": 0.02,
|
675 |
+
"step": 6600
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 17.819148936170212,
|
679 |
+
"grad_norm": 0.014023613184690475,
|
680 |
+
"learning_rate": 3.271276595744681e-05,
|
681 |
+
"loss": 0.025,
|
682 |
+
"step": 6700
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 18.0,
|
686 |
+
"eval_accuracy": 0.676,
|
687 |
+
"eval_f1": 0.6721775597644245,
|
688 |
+
"eval_loss": 2.5857865810394287,
|
689 |
+
"eval_precision": 0.6713915090790397,
|
690 |
+
"eval_recall": 0.6767165532879819,
|
691 |
+
"eval_runtime": 34.2491,
|
692 |
+
"eval_samples_per_second": 21.898,
|
693 |
+
"eval_steps_per_second": 2.745,
|
694 |
+
"step": 6768
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 18.085106382978722,
|
698 |
+
"grad_norm": 0.47041425108909607,
|
699 |
+
"learning_rate": 2.8723404255319147e-05,
|
700 |
+
"loss": 0.0202,
|
701 |
+
"step": 6800
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 18.351063829787233,
|
705 |
+
"grad_norm": 0.06168466433882713,
|
706 |
+
"learning_rate": 2.4734042553191484e-05,
|
707 |
+
"loss": 0.019,
|
708 |
+
"step": 6900
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 18.617021276595743,
|
712 |
+
"grad_norm": 0.0014604219468310475,
|
713 |
+
"learning_rate": 2.0744680851063828e-05,
|
714 |
+
"loss": 0.0178,
|
715 |
+
"step": 7000
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 18.882978723404257,
|
719 |
+
"grad_norm": 0.0028070323169231415,
|
720 |
+
"learning_rate": 1.675531914893617e-05,
|
721 |
+
"loss": 0.0214,
|
722 |
+
"step": 7100
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 19.0,
|
726 |
+
"eval_accuracy": 0.668,
|
727 |
+
"eval_f1": 0.6658631291530153,
|
728 |
+
"eval_loss": 2.6788387298583984,
|
729 |
+
"eval_precision": 0.6642259414225942,
|
730 |
+
"eval_recall": 0.6688787515006003,
|
731 |
+
"eval_runtime": 34.249,
|
732 |
+
"eval_samples_per_second": 21.898,
|
733 |
+
"eval_steps_per_second": 2.745,
|
734 |
+
"step": 7144
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 19.148936170212767,
|
738 |
+
"grad_norm": 0.0015123536577448249,
|
739 |
+
"learning_rate": 1.276595744680851e-05,
|
740 |
+
"loss": 0.0204,
|
741 |
+
"step": 7200
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 19.414893617021278,
|
745 |
+
"grad_norm": 0.0018817168893292546,
|
746 |
+
"learning_rate": 8.77659574468085e-06,
|
747 |
+
"loss": 0.0141,
|
748 |
+
"step": 7300
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 19.680851063829788,
|
752 |
+
"grad_norm": 0.6008268594741821,
|
753 |
+
"learning_rate": 4.7872340425531906e-06,
|
754 |
+
"loss": 0.0203,
|
755 |
+
"step": 7400
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 19.9468085106383,
|
759 |
+
"grad_norm": 1.0317440032958984,
|
760 |
+
"learning_rate": 7.978723404255318e-07,
|
761 |
+
"loss": 0.0155,
|
762 |
+
"step": 7500
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 20.0,
|
766 |
+
"eval_accuracy": 0.672,
|
767 |
+
"eval_f1": 0.6695170440310667,
|
768 |
+
"eval_loss": 2.725527048110962,
|
769 |
+
"eval_precision": 0.66779120407287,
|
770 |
+
"eval_recall": 0.6728787515006003,
|
771 |
+
"eval_runtime": 34.5602,
|
772 |
+
"eval_samples_per_second": 21.701,
|
773 |
+
"eval_steps_per_second": 2.72,
|
774 |
+
"step": 7520
|
775 |
+
}
|
776 |
+
],
|
777 |
+
"logging_steps": 100,
|
778 |
+
"max_steps": 7520,
|
779 |
+
"num_input_tokens_seen": 0,
|
780 |
+
"num_train_epochs": 20,
|
781 |
+
"save_steps": 500,
|
782 |
+
"stateful_callbacks": {
|
783 |
+
"TrainerControl": {
|
784 |
+
"args": {
|
785 |
+
"should_epoch_stop": false,
|
786 |
+
"should_evaluate": false,
|
787 |
+
"should_log": false,
|
788 |
+
"should_save": true,
|
789 |
+
"should_training_stop": true
|
790 |
+
},
|
791 |
+
"attributes": {}
|
792 |
+
}
|
793 |
+
},
|
794 |
+
"total_flos": 3.288864877974981e+19,
|
795 |
+
"train_batch_size": 16,
|
796 |
+
"trial_name": null,
|
797 |
+
"trial_params": null
|
798 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6d6161a2d7c96f418e5516fcd350adef0b7734e918251a4c3ab6e45395587780
|
3 |
+
size 5240
|