selmamalak
commited on
End of training
Browse files- README.md +5 -5
- all_results.json +16 -0
- eval_results.json +11 -0
- train_results.json +8 -0
- trainer_state.json +673 -0
README.md
CHANGED
@@ -23,11 +23,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
23 |
|
24 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the medmnist-v2 dataset.
|
25 |
It achieves the following results on the evaluation set:
|
26 |
-
- Loss: 0.
|
27 |
-
- Accuracy: 0.
|
28 |
-
- Precision: 0.
|
29 |
-
- Recall: 0.
|
30 |
-
- F1: 0.
|
31 |
|
32 |
## Model description
|
33 |
|
|
|
23 |
|
24 |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the medmnist-v2 dataset.
|
25 |
It achieves the following results on the evaluation set:
|
26 |
+
- Loss: 0.3312
|
27 |
+
- Accuracy: 0.8878
|
28 |
+
- Precision: 0.9217
|
29 |
+
- Recall: 0.8513
|
30 |
+
- F1: 0.8712
|
31 |
|
32 |
## Model description
|
33 |
|
all_results.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.898305084745763,
|
3 |
+
"eval_accuracy": 0.8878205128205128,
|
4 |
+
"eval_f1": 0.8712264150943396,
|
5 |
+
"eval_loss": 0.33118727803230286,
|
6 |
+
"eval_precision": 0.9216604408901984,
|
7 |
+
"eval_recall": 0.8512820512820514,
|
8 |
+
"eval_runtime": 2.8671,
|
9 |
+
"eval_samples_per_second": 217.64,
|
10 |
+
"eval_steps_per_second": 13.603,
|
11 |
+
"total_flos": 3.6369520534486057e+18,
|
12 |
+
"train_loss": 0.18177251358554788,
|
13 |
+
"train_runtime": 459.6522,
|
14 |
+
"train_samples_per_second": 102.425,
|
15 |
+
"train_steps_per_second": 1.588
|
16 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.898305084745763,
|
3 |
+
"eval_accuracy": 0.8878205128205128,
|
4 |
+
"eval_f1": 0.8712264150943396,
|
5 |
+
"eval_loss": 0.33118727803230286,
|
6 |
+
"eval_precision": 0.9216604408901984,
|
7 |
+
"eval_recall": 0.8512820512820514,
|
8 |
+
"eval_runtime": 2.8671,
|
9 |
+
"eval_samples_per_second": 217.64,
|
10 |
+
"eval_steps_per_second": 13.603
|
11 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.898305084745763,
|
3 |
+
"total_flos": 3.6369520534486057e+18,
|
4 |
+
"train_loss": 0.18177251358554788,
|
5 |
+
"train_runtime": 459.6522,
|
6 |
+
"train_samples_per_second": 102.425,
|
7 |
+
"train_steps_per_second": 1.588
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,673 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9751908396946565,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-in21k-finetuned-lora-medmnistv2/checkpoint-221",
|
4 |
+
"epoch": 9.898305084745763,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 730,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.13559322033898305,
|
13 |
+
"grad_norm": 0.5722031593322754,
|
14 |
+
"learning_rate": 0.004931506849315068,
|
15 |
+
"loss": 0.4736,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.2711864406779661,
|
20 |
+
"grad_norm": 2.089559316635132,
|
21 |
+
"learning_rate": 0.0048630136986301375,
|
22 |
+
"loss": 0.4462,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.4067796610169492,
|
27 |
+
"grad_norm": 3.0388331413269043,
|
28 |
+
"learning_rate": 0.004794520547945206,
|
29 |
+
"loss": 0.2969,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.5423728813559322,
|
34 |
+
"grad_norm": 0.4622490406036377,
|
35 |
+
"learning_rate": 0.004726027397260274,
|
36 |
+
"loss": 0.309,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.6779661016949152,
|
41 |
+
"grad_norm": 1.2164361476898193,
|
42 |
+
"learning_rate": 0.004657534246575342,
|
43 |
+
"loss": 0.2817,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.8135593220338984,
|
48 |
+
"grad_norm": 0.30212166905403137,
|
49 |
+
"learning_rate": 0.004589041095890411,
|
50 |
+
"loss": 0.24,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.9491525423728814,
|
55 |
+
"grad_norm": 0.9486951231956482,
|
56 |
+
"learning_rate": 0.00452054794520548,
|
57 |
+
"loss": 0.2447,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.9898305084745763,
|
62 |
+
"eval_accuracy": 0.9561068702290076,
|
63 |
+
"eval_f1": 0.9445770389275943,
|
64 |
+
"eval_loss": 0.11798465996980667,
|
65 |
+
"eval_precision": 0.9313190730837789,
|
66 |
+
"eval_recall": 0.9607635913548509,
|
67 |
+
"eval_runtime": 2.3492,
|
68 |
+
"eval_samples_per_second": 223.055,
|
69 |
+
"eval_steps_per_second": 14.047,
|
70 |
+
"step": 73
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 1.0847457627118644,
|
74 |
+
"grad_norm": 1.1987316608428955,
|
75 |
+
"learning_rate": 0.004452054794520548,
|
76 |
+
"loss": 0.2017,
|
77 |
+
"step": 80
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 1.2203389830508475,
|
81 |
+
"grad_norm": 0.6783656477928162,
|
82 |
+
"learning_rate": 0.004383561643835616,
|
83 |
+
"loss": 0.2214,
|
84 |
+
"step": 90
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 1.3559322033898304,
|
88 |
+
"grad_norm": 1.073630452156067,
|
89 |
+
"learning_rate": 0.004315068493150685,
|
90 |
+
"loss": 0.1989,
|
91 |
+
"step": 100
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 1.4915254237288136,
|
95 |
+
"grad_norm": 0.3175281584262848,
|
96 |
+
"learning_rate": 0.0042465753424657535,
|
97 |
+
"loss": 0.1857,
|
98 |
+
"step": 110
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.6271186440677967,
|
102 |
+
"grad_norm": 0.6710169911384583,
|
103 |
+
"learning_rate": 0.004178082191780822,
|
104 |
+
"loss": 0.2305,
|
105 |
+
"step": 120
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 1.7627118644067796,
|
109 |
+
"grad_norm": 0.8543218374252319,
|
110 |
+
"learning_rate": 0.00410958904109589,
|
111 |
+
"loss": 0.2111,
|
112 |
+
"step": 130
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 1.8983050847457628,
|
116 |
+
"grad_norm": 0.6326661109924316,
|
117 |
+
"learning_rate": 0.004041095890410959,
|
118 |
+
"loss": 0.2136,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.993220338983051,
|
123 |
+
"eval_accuracy": 0.9637404580152672,
|
124 |
+
"eval_f1": 0.9529434006853362,
|
125 |
+
"eval_loss": 0.10151813924312592,
|
126 |
+
"eval_precision": 0.9497822332357138,
|
127 |
+
"eval_recall": 0.9562315528896506,
|
128 |
+
"eval_runtime": 2.4266,
|
129 |
+
"eval_samples_per_second": 215.944,
|
130 |
+
"eval_steps_per_second": 13.6,
|
131 |
+
"step": 147
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 2.0338983050847457,
|
135 |
+
"grad_norm": 0.40849238634109497,
|
136 |
+
"learning_rate": 0.003972602739726027,
|
137 |
+
"loss": 0.2148,
|
138 |
+
"step": 150
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 2.169491525423729,
|
142 |
+
"grad_norm": 1.0935662984848022,
|
143 |
+
"learning_rate": 0.003904109589041096,
|
144 |
+
"loss": 0.2106,
|
145 |
+
"step": 160
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 2.305084745762712,
|
149 |
+
"grad_norm": 0.6485463380813599,
|
150 |
+
"learning_rate": 0.0038356164383561643,
|
151 |
+
"loss": 0.2205,
|
152 |
+
"step": 170
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 2.440677966101695,
|
156 |
+
"grad_norm": 0.5151948928833008,
|
157 |
+
"learning_rate": 0.003767123287671233,
|
158 |
+
"loss": 0.2018,
|
159 |
+
"step": 180
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 2.576271186440678,
|
163 |
+
"grad_norm": 0.5166621804237366,
|
164 |
+
"learning_rate": 0.0036986301369863013,
|
165 |
+
"loss": 0.1827,
|
166 |
+
"step": 190
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 2.711864406779661,
|
170 |
+
"grad_norm": 0.8355435729026794,
|
171 |
+
"learning_rate": 0.00363013698630137,
|
172 |
+
"loss": 0.2171,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 2.847457627118644,
|
177 |
+
"grad_norm": 0.558962881565094,
|
178 |
+
"learning_rate": 0.003561643835616438,
|
179 |
+
"loss": 0.1845,
|
180 |
+
"step": 210
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 2.983050847457627,
|
184 |
+
"grad_norm": 0.6180588603019714,
|
185 |
+
"learning_rate": 0.003493150684931507,
|
186 |
+
"loss": 0.1431,
|
187 |
+
"step": 220
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 2.9966101694915253,
|
191 |
+
"eval_accuracy": 0.9751908396946565,
|
192 |
+
"eval_f1": 0.9671702932600785,
|
193 |
+
"eval_loss": 0.07291658967733383,
|
194 |
+
"eval_precision": 0.9731940648184303,
|
195 |
+
"eval_recall": 0.9615252784918595,
|
196 |
+
"eval_runtime": 2.3109,
|
197 |
+
"eval_samples_per_second": 226.748,
|
198 |
+
"eval_steps_per_second": 14.28,
|
199 |
+
"step": 221
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 3.1186440677966103,
|
203 |
+
"grad_norm": 0.4949386715888977,
|
204 |
+
"learning_rate": 0.003424657534246575,
|
205 |
+
"loss": 0.2148,
|
206 |
+
"step": 230
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 3.2542372881355934,
|
210 |
+
"grad_norm": 0.5671024918556213,
|
211 |
+
"learning_rate": 0.003356164383561644,
|
212 |
+
"loss": 0.172,
|
213 |
+
"step": 240
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 3.389830508474576,
|
217 |
+
"grad_norm": 0.515737771987915,
|
218 |
+
"learning_rate": 0.003287671232876712,
|
219 |
+
"loss": 0.1962,
|
220 |
+
"step": 250
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 3.5254237288135593,
|
224 |
+
"grad_norm": 0.42013198137283325,
|
225 |
+
"learning_rate": 0.0032191780821917808,
|
226 |
+
"loss": 0.1571,
|
227 |
+
"step": 260
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 3.6610169491525424,
|
231 |
+
"grad_norm": 0.41014379262924194,
|
232 |
+
"learning_rate": 0.003150684931506849,
|
233 |
+
"loss": 0.1905,
|
234 |
+
"step": 270
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 3.7966101694915255,
|
238 |
+
"grad_norm": 0.48967182636260986,
|
239 |
+
"learning_rate": 0.003082191780821918,
|
240 |
+
"loss": 0.1344,
|
241 |
+
"step": 280
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 3.9322033898305087,
|
245 |
+
"grad_norm": 0.3962344229221344,
|
246 |
+
"learning_rate": 0.0030136986301369864,
|
247 |
+
"loss": 0.1576,
|
248 |
+
"step": 290
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 4.0,
|
252 |
+
"eval_accuracy": 0.9637404580152672,
|
253 |
+
"eval_f1": 0.9531647653769258,
|
254 |
+
"eval_loss": 0.08732008934020996,
|
255 |
+
"eval_precision": 0.9480282738095238,
|
256 |
+
"eval_recall": 0.9586499095496526,
|
257 |
+
"eval_runtime": 2.3116,
|
258 |
+
"eval_samples_per_second": 226.687,
|
259 |
+
"eval_steps_per_second": 14.276,
|
260 |
+
"step": 295
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 4.067796610169491,
|
264 |
+
"grad_norm": 0.28995221853256226,
|
265 |
+
"learning_rate": 0.002945205479452055,
|
266 |
+
"loss": 0.1319,
|
267 |
+
"step": 300
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 4.203389830508475,
|
271 |
+
"grad_norm": 0.5315499901771545,
|
272 |
+
"learning_rate": 0.0028767123287671234,
|
273 |
+
"loss": 0.2781,
|
274 |
+
"step": 310
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 4.338983050847458,
|
278 |
+
"grad_norm": 0.24718379974365234,
|
279 |
+
"learning_rate": 0.002808219178082192,
|
280 |
+
"loss": 0.1896,
|
281 |
+
"step": 320
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 4.47457627118644,
|
285 |
+
"grad_norm": 0.404805988073349,
|
286 |
+
"learning_rate": 0.0027397260273972603,
|
287 |
+
"loss": 0.1829,
|
288 |
+
"step": 330
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 4.610169491525424,
|
292 |
+
"grad_norm": 0.5308801531791687,
|
293 |
+
"learning_rate": 0.002671232876712329,
|
294 |
+
"loss": 0.1665,
|
295 |
+
"step": 340
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 4.745762711864407,
|
299 |
+
"grad_norm": 0.7429054975509644,
|
300 |
+
"learning_rate": 0.0026027397260273972,
|
301 |
+
"loss": 0.1646,
|
302 |
+
"step": 350
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 4.88135593220339,
|
306 |
+
"grad_norm": 0.6361825466156006,
|
307 |
+
"learning_rate": 0.002534246575342466,
|
308 |
+
"loss": 0.2072,
|
309 |
+
"step": 360
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 4.989830508474577,
|
313 |
+
"eval_accuracy": 0.9713740458015268,
|
314 |
+
"eval_f1": 0.9626722135947228,
|
315 |
+
"eval_loss": 0.076077401638031,
|
316 |
+
"eval_precision": 0.9615676167374165,
|
317 |
+
"eval_recall": 0.9637912977244597,
|
318 |
+
"eval_runtime": 2.3751,
|
319 |
+
"eval_samples_per_second": 220.624,
|
320 |
+
"eval_steps_per_second": 13.894,
|
321 |
+
"step": 368
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 5.016949152542373,
|
325 |
+
"grad_norm": 0.6114002466201782,
|
326 |
+
"learning_rate": 0.002465753424657534,
|
327 |
+
"loss": 0.1943,
|
328 |
+
"step": 370
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 5.1525423728813555,
|
332 |
+
"grad_norm": 0.32443058490753174,
|
333 |
+
"learning_rate": 0.002397260273972603,
|
334 |
+
"loss": 0.1541,
|
335 |
+
"step": 380
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 5.288135593220339,
|
339 |
+
"grad_norm": 0.44808831810951233,
|
340 |
+
"learning_rate": 0.002328767123287671,
|
341 |
+
"loss": 0.1397,
|
342 |
+
"step": 390
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 5.423728813559322,
|
346 |
+
"grad_norm": 0.478524386882782,
|
347 |
+
"learning_rate": 0.00226027397260274,
|
348 |
+
"loss": 0.1647,
|
349 |
+
"step": 400
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 5.559322033898305,
|
353 |
+
"grad_norm": 0.8286917805671692,
|
354 |
+
"learning_rate": 0.002191780821917808,
|
355 |
+
"loss": 0.1532,
|
356 |
+
"step": 410
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 5.694915254237288,
|
360 |
+
"grad_norm": 0.7862728238105774,
|
361 |
+
"learning_rate": 0.0021232876712328768,
|
362 |
+
"loss": 0.1474,
|
363 |
+
"step": 420
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 5.830508474576272,
|
367 |
+
"grad_norm": 1.1601946353912354,
|
368 |
+
"learning_rate": 0.002054794520547945,
|
369 |
+
"loss": 0.2347,
|
370 |
+
"step": 430
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 5.966101694915254,
|
374 |
+
"grad_norm": 1.3851842880249023,
|
375 |
+
"learning_rate": 0.0019863013698630137,
|
376 |
+
"loss": 0.1908,
|
377 |
+
"step": 440
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 5.9932203389830505,
|
381 |
+
"eval_accuracy": 0.9599236641221374,
|
382 |
+
"eval_f1": 0.9496169994551458,
|
383 |
+
"eval_loss": 0.10439441353082657,
|
384 |
+
"eval_precision": 0.9348118279569892,
|
385 |
+
"eval_recall": 0.9681709987622584,
|
386 |
+
"eval_runtime": 2.3199,
|
387 |
+
"eval_samples_per_second": 225.87,
|
388 |
+
"eval_steps_per_second": 14.225,
|
389 |
+
"step": 442
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 6.101694915254237,
|
393 |
+
"grad_norm": 0.6037909388542175,
|
394 |
+
"learning_rate": 0.0019178082191780822,
|
395 |
+
"loss": 0.1326,
|
396 |
+
"step": 450
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 6.237288135593221,
|
400 |
+
"grad_norm": 0.6797343492507935,
|
401 |
+
"learning_rate": 0.0018493150684931506,
|
402 |
+
"loss": 0.1909,
|
403 |
+
"step": 460
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 6.372881355932203,
|
407 |
+
"grad_norm": 0.5503271222114563,
|
408 |
+
"learning_rate": 0.0017876712328767123,
|
409 |
+
"loss": 0.1328,
|
410 |
+
"step": 470
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 6.508474576271187,
|
414 |
+
"grad_norm": 0.46364396810531616,
|
415 |
+
"learning_rate": 0.0017191780821917808,
|
416 |
+
"loss": 0.1586,
|
417 |
+
"step": 480
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 6.6440677966101696,
|
421 |
+
"grad_norm": 0.7383654713630676,
|
422 |
+
"learning_rate": 0.0016506849315068492,
|
423 |
+
"loss": 0.1393,
|
424 |
+
"step": 490
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 6.779661016949152,
|
428 |
+
"grad_norm": 0.7454331517219543,
|
429 |
+
"learning_rate": 0.0015821917808219177,
|
430 |
+
"loss": 0.163,
|
431 |
+
"step": 500
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 6.915254237288136,
|
435 |
+
"grad_norm": 0.7943591475486755,
|
436 |
+
"learning_rate": 0.0015136986301369862,
|
437 |
+
"loss": 0.1637,
|
438 |
+
"step": 510
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 6.996610169491525,
|
442 |
+
"eval_accuracy": 0.9675572519083969,
|
443 |
+
"eval_f1": 0.9582894361020196,
|
444 |
+
"eval_loss": 0.07422558218240738,
|
445 |
+
"eval_precision": 0.9512019762554385,
|
446 |
+
"eval_recall": 0.9660573169570599,
|
447 |
+
"eval_runtime": 2.67,
|
448 |
+
"eval_samples_per_second": 196.256,
|
449 |
+
"eval_steps_per_second": 12.36,
|
450 |
+
"step": 516
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 7.0508474576271185,
|
454 |
+
"grad_norm": 0.5350046753883362,
|
455 |
+
"learning_rate": 0.0014452054794520546,
|
456 |
+
"loss": 0.1415,
|
457 |
+
"step": 520
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 7.186440677966102,
|
461 |
+
"grad_norm": 0.9918954372406006,
|
462 |
+
"learning_rate": 0.001376712328767123,
|
463 |
+
"loss": 0.1548,
|
464 |
+
"step": 530
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 7.322033898305085,
|
468 |
+
"grad_norm": 2.7371268272399902,
|
469 |
+
"learning_rate": 0.0013082191780821918,
|
470 |
+
"loss": 0.1583,
|
471 |
+
"step": 540
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 7.4576271186440675,
|
475 |
+
"grad_norm": 1.9455125331878662,
|
476 |
+
"learning_rate": 0.0012397260273972603,
|
477 |
+
"loss": 0.1399,
|
478 |
+
"step": 550
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 7.593220338983051,
|
482 |
+
"grad_norm": 1.1810232400894165,
|
483 |
+
"learning_rate": 0.0011712328767123287,
|
484 |
+
"loss": 0.1535,
|
485 |
+
"step": 560
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 7.728813559322034,
|
489 |
+
"grad_norm": 0.5082597136497498,
|
490 |
+
"learning_rate": 0.0011027397260273974,
|
491 |
+
"loss": 0.1395,
|
492 |
+
"step": 570
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 7.864406779661017,
|
496 |
+
"grad_norm": 0.435004860162735,
|
497 |
+
"learning_rate": 0.001034246575342466,
|
498 |
+
"loss": 0.1443,
|
499 |
+
"step": 580
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 8.0,
|
503 |
+
"grad_norm": 0.4963846504688263,
|
504 |
+
"learning_rate": 0.0009657534246575344,
|
505 |
+
"loss": 0.1385,
|
506 |
+
"step": 590
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 8.0,
|
510 |
+
"eval_accuracy": 0.9312977099236641,
|
511 |
+
"eval_f1": 0.9169177104804185,
|
512 |
+
"eval_loss": 0.18427740037441254,
|
513 |
+
"eval_precision": 0.8947368421052632,
|
514 |
+
"eval_recall": 0.9537275064267352,
|
515 |
+
"eval_runtime": 2.338,
|
516 |
+
"eval_samples_per_second": 224.121,
|
517 |
+
"eval_steps_per_second": 14.115,
|
518 |
+
"step": 590
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 8.135593220338983,
|
522 |
+
"grad_norm": 0.5249541997909546,
|
523 |
+
"learning_rate": 0.0008972602739726028,
|
524 |
+
"loss": 0.1574,
|
525 |
+
"step": 600
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 8.271186440677965,
|
529 |
+
"grad_norm": 0.4605633020401001,
|
530 |
+
"learning_rate": 0.0008287671232876713,
|
531 |
+
"loss": 0.1543,
|
532 |
+
"step": 610
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 8.40677966101695,
|
536 |
+
"grad_norm": 0.3483382761478424,
|
537 |
+
"learning_rate": 0.0007602739726027398,
|
538 |
+
"loss": 0.131,
|
539 |
+
"step": 620
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 8.542372881355933,
|
543 |
+
"grad_norm": 0.21878492832183838,
|
544 |
+
"learning_rate": 0.0006917808219178081,
|
545 |
+
"loss": 0.1158,
|
546 |
+
"step": 630
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 8.677966101694915,
|
550 |
+
"grad_norm": 0.6566260457038879,
|
551 |
+
"learning_rate": 0.0006232876712328767,
|
552 |
+
"loss": 0.1018,
|
553 |
+
"step": 640
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 8.813559322033898,
|
557 |
+
"grad_norm": 0.3624425232410431,
|
558 |
+
"learning_rate": 0.0005547945205479452,
|
559 |
+
"loss": 0.1137,
|
560 |
+
"step": 650
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 8.94915254237288,
|
564 |
+
"grad_norm": 0.8725977540016174,
|
565 |
+
"learning_rate": 0.0004863013698630137,
|
566 |
+
"loss": 0.1335,
|
567 |
+
"step": 660
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 8.989830508474576,
|
571 |
+
"eval_accuracy": 0.9751908396946565,
|
572 |
+
"eval_f1": 0.9679548394684229,
|
573 |
+
"eval_loss": 0.0676569938659668,
|
574 |
+
"eval_precision": 0.9626488095238095,
|
575 |
+
"eval_recall": 0.9736170617918689,
|
576 |
+
"eval_runtime": 2.3252,
|
577 |
+
"eval_samples_per_second": 225.358,
|
578 |
+
"eval_steps_per_second": 14.192,
|
579 |
+
"step": 663
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 9.084745762711865,
|
583 |
+
"grad_norm": 0.46945634484291077,
|
584 |
+
"learning_rate": 0.00041780821917808224,
|
585 |
+
"loss": 0.1348,
|
586 |
+
"step": 670
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 9.220338983050848,
|
590 |
+
"grad_norm": 0.33705276250839233,
|
591 |
+
"learning_rate": 0.0003493150684931507,
|
592 |
+
"loss": 0.0968,
|
593 |
+
"step": 680
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 9.35593220338983,
|
597 |
+
"grad_norm": 0.554704487323761,
|
598 |
+
"learning_rate": 0.0002808219178082192,
|
599 |
+
"loss": 0.1379,
|
600 |
+
"step": 690
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 9.491525423728813,
|
604 |
+
"grad_norm": 0.5419002175331116,
|
605 |
+
"learning_rate": 0.00021232876712328768,
|
606 |
+
"loss": 0.128,
|
607 |
+
"step": 700
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 9.627118644067796,
|
611 |
+
"grad_norm": 0.32422158122062683,
|
612 |
+
"learning_rate": 0.00014383561643835618,
|
613 |
+
"loss": 0.1065,
|
614 |
+
"step": 710
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 9.76271186440678,
|
618 |
+
"grad_norm": 0.3378284275531769,
|
619 |
+
"learning_rate": 7.534246575342466e-05,
|
620 |
+
"loss": 0.1354,
|
621 |
+
"step": 720
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 9.898305084745763,
|
625 |
+
"grad_norm": 0.2171776294708252,
|
626 |
+
"learning_rate": 6.849315068493151e-06,
|
627 |
+
"loss": 0.1186,
|
628 |
+
"step": 730
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 9.898305084745763,
|
632 |
+
"eval_accuracy": 0.9751908396946565,
|
633 |
+
"eval_f1": 0.9679548394684229,
|
634 |
+
"eval_loss": 0.0765310674905777,
|
635 |
+
"eval_precision": 0.9626488095238095,
|
636 |
+
"eval_recall": 0.9736170617918689,
|
637 |
+
"eval_runtime": 2.3291,
|
638 |
+
"eval_samples_per_second": 224.984,
|
639 |
+
"eval_steps_per_second": 14.169,
|
640 |
+
"step": 730
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 9.898305084745763,
|
644 |
+
"step": 730,
|
645 |
+
"total_flos": 3.6369520534486057e+18,
|
646 |
+
"train_loss": 0.18177251358554788,
|
647 |
+
"train_runtime": 459.6522,
|
648 |
+
"train_samples_per_second": 102.425,
|
649 |
+
"train_steps_per_second": 1.588
|
650 |
+
}
|
651 |
+
],
|
652 |
+
"logging_steps": 10,
|
653 |
+
"max_steps": 730,
|
654 |
+
"num_input_tokens_seen": 0,
|
655 |
+
"num_train_epochs": 10,
|
656 |
+
"save_steps": 500,
|
657 |
+
"stateful_callbacks": {
|
658 |
+
"TrainerControl": {
|
659 |
+
"args": {
|
660 |
+
"should_epoch_stop": false,
|
661 |
+
"should_evaluate": false,
|
662 |
+
"should_log": false,
|
663 |
+
"should_save": true,
|
664 |
+
"should_training_stop": true
|
665 |
+
},
|
666 |
+
"attributes": {}
|
667 |
+
}
|
668 |
+
},
|
669 |
+
"total_flos": 3.6369520534486057e+18,
|
670 |
+
"train_batch_size": 16,
|
671 |
+
"trial_name": null,
|
672 |
+
"trial_params": null
|
673 |
+
}
|