Commit
·
15de256
1
Parent(s):
6a33562
ThyroidTumorClassification
Browse files- all_results.json +11 -11
- eval_results.json +6 -6
- pytorch_model.bin +1 -1
- train_results.json +6 -6
- trainer_state.json +263 -161
- training_args.bin +1 -1
all_results.json
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_f1": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
-
"total_flos":
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second": 0.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_f1": 0.8837209302325582,
|
| 4 |
+
"eval_loss": 0.5682619214057922,
|
| 5 |
+
"eval_runtime": 0.6789,
|
| 6 |
+
"eval_samples_per_second": 139.94,
|
| 7 |
+
"eval_steps_per_second": 4.419,
|
| 8 |
+
"total_flos": 2.8570124903878656e+17,
|
| 9 |
+
"train_loss": 0.5013438595665826,
|
| 10 |
+
"train_runtime": 222.831,
|
| 11 |
+
"train_samples_per_second": 51.025,
|
| 12 |
+
"train_steps_per_second": 0.404
|
| 13 |
}
|
eval_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_f1": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime": 0.
|
| 6 |
-
"eval_samples_per_second":
|
| 7 |
-
"eval_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_f1": 0.8837209302325582,
|
| 4 |
+
"eval_loss": 0.5682619214057922,
|
| 5 |
+
"eval_runtime": 0.6789,
|
| 6 |
+
"eval_samples_per_second": 139.94,
|
| 7 |
+
"eval_steps_per_second": 4.419
|
| 8 |
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 111347349
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f5768f543feec39b661a0d3347394478b69fe2fb6010928ea157000d3c03bb2
|
| 3 |
size 111347349
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"total_flos":
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"total_flos": 2.8570124903878656e+17,
|
| 4 |
+
"train_loss": 0.5013438595665826,
|
| 5 |
+
"train_runtime": 222.831,
|
| 6 |
+
"train_samples_per_second": 51.025,
|
| 7 |
+
"train_steps_per_second": 0.404
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,211 +1,313 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "Cvt-finetuned-thyroid/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
-
"epoch": 0
|
| 12 |
-
"eval_f1": 0.
|
| 13 |
-
"eval_loss": 0.
|
| 14 |
-
"eval_runtime": 0.
|
| 15 |
-
"eval_samples_per_second":
|
| 16 |
-
"eval_steps_per_second":
|
| 17 |
-
"step":
|
| 18 |
-
},
|
| 19 |
-
{
|
| 20 |
-
"epoch": 1.73,
|
| 21 |
-
"eval_f1": 0.24,
|
| 22 |
-
"eval_loss": 0.715528666973114,
|
| 23 |
-
"eval_runtime": 0.4576,
|
| 24 |
-
"eval_samples_per_second": 179.212,
|
| 25 |
-
"eval_steps_per_second": 6.557,
|
| 26 |
-
"step": 4
|
| 27 |
-
},
|
| 28 |
-
{
|
| 29 |
-
"epoch": 2.73,
|
| 30 |
-
"eval_f1": 0.4651162790697675,
|
| 31 |
-
"eval_loss": 0.6962855458259583,
|
| 32 |
-
"eval_runtime": 0.4553,
|
| 33 |
-
"eval_samples_per_second": 180.089,
|
| 34 |
-
"eval_steps_per_second": 6.589,
|
| 35 |
-
"step": 6
|
| 36 |
},
|
| 37 |
{
|
| 38 |
-
"epoch":
|
| 39 |
-
"eval_f1": 0.
|
| 40 |
-
"eval_loss": 0.
|
| 41 |
-
"eval_runtime": 0.
|
| 42 |
-
"eval_samples_per_second":
|
| 43 |
-
"eval_steps_per_second":
|
| 44 |
-
"step":
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch":
|
| 48 |
-
"eval_f1": 0.
|
| 49 |
-
"eval_loss": 0.
|
| 50 |
-
"eval_runtime": 0.
|
| 51 |
-
"eval_samples_per_second":
|
| 52 |
-
"eval_steps_per_second":
|
| 53 |
-
"step":
|
| 54 |
},
|
| 55 |
{
|
| 56 |
-
"epoch":
|
| 57 |
-
"eval_f1": 0.
|
| 58 |
-
"eval_loss": 0.
|
| 59 |
-
"eval_runtime": 0.
|
| 60 |
-
"eval_samples_per_second":
|
| 61 |
-
"eval_steps_per_second":
|
| 62 |
"step": 12
|
| 63 |
},
|
| 64 |
{
|
| 65 |
-
"epoch":
|
| 66 |
-
"eval_f1": 0.
|
| 67 |
-
"eval_loss": 0.
|
| 68 |
-
"eval_runtime": 0.
|
| 69 |
-
"eval_samples_per_second":
|
| 70 |
-
"eval_steps_per_second":
|
| 71 |
-
"step":
|
| 72 |
},
|
| 73 |
{
|
| 74 |
-
"epoch":
|
| 75 |
-
"eval_f1": 0.
|
| 76 |
-
"eval_loss": 0.
|
| 77 |
-
"eval_runtime": 0.
|
| 78 |
-
"eval_samples_per_second":
|
| 79 |
-
"eval_steps_per_second":
|
| 80 |
-
"step":
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch":
|
| 84 |
-
"eval_f1": 0.
|
| 85 |
-
"eval_loss": 0.
|
| 86 |
-
"eval_runtime": 0.
|
| 87 |
-
"eval_samples_per_second":
|
| 88 |
-
"eval_steps_per_second":
|
| 89 |
-
"step":
|
| 90 |
},
|
| 91 |
{
|
| 92 |
-
"epoch":
|
| 93 |
-
"eval_f1": 0.
|
| 94 |
-
"eval_loss": 0.
|
| 95 |
-
"eval_runtime": 0.
|
| 96 |
-
"eval_samples_per_second":
|
| 97 |
-
"eval_steps_per_second":
|
| 98 |
-
"step":
|
| 99 |
},
|
| 100 |
{
|
| 101 |
-
"epoch":
|
| 102 |
-
"
|
| 103 |
-
"
|
| 104 |
-
"
|
| 105 |
-
"eval_samples_per_second": 177.741,
|
| 106 |
-
"eval_steps_per_second": 6.503,
|
| 107 |
-
"step": 22
|
| 108 |
},
|
| 109 |
{
|
| 110 |
-
"epoch":
|
| 111 |
-
"eval_f1": 0.
|
| 112 |
-
"eval_loss": 0.
|
| 113 |
-
"eval_runtime": 0.
|
| 114 |
-
"eval_samples_per_second":
|
| 115 |
-
"eval_steps_per_second":
|
| 116 |
-
"step":
|
| 117 |
},
|
| 118 |
{
|
| 119 |
-
"epoch":
|
| 120 |
-
"
|
| 121 |
-
"
|
| 122 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 123 |
},
|
| 124 |
{
|
| 125 |
-
"epoch": 12.
|
| 126 |
-
"eval_f1": 0.
|
| 127 |
-
"eval_loss": 0.
|
| 128 |
-
"eval_runtime": 0.
|
| 129 |
-
"eval_samples_per_second":
|
| 130 |
-
"eval_steps_per_second":
|
| 131 |
-
"step":
|
| 132 |
},
|
| 133 |
{
|
| 134 |
-
"epoch": 13.
|
| 135 |
-
"eval_f1": 0.
|
| 136 |
-
"eval_loss": 0.
|
| 137 |
-
"eval_runtime": 0.
|
| 138 |
-
"eval_samples_per_second":
|
| 139 |
-
"eval_steps_per_second":
|
| 140 |
-
"step":
|
| 141 |
},
|
| 142 |
{
|
| 143 |
-
"epoch": 14.
|
| 144 |
-
"eval_f1": 0.
|
| 145 |
-
"eval_loss": 0.
|
| 146 |
-
"eval_runtime": 0.
|
| 147 |
-
"eval_samples_per_second":
|
| 148 |
-
"eval_steps_per_second":
|
| 149 |
-
"step":
|
| 150 |
},
|
| 151 |
{
|
| 152 |
-
"epoch": 15.
|
| 153 |
-
"eval_f1": 0.
|
| 154 |
-
"eval_loss": 0.
|
| 155 |
-
"eval_runtime": 0.
|
| 156 |
-
"eval_samples_per_second":
|
| 157 |
-
"eval_steps_per_second":
|
| 158 |
-
"step":
|
| 159 |
},
|
| 160 |
{
|
| 161 |
-
"epoch": 16.
|
| 162 |
-
"eval_f1": 0.
|
| 163 |
-
"eval_loss": 0.
|
| 164 |
-
"eval_runtime": 0.
|
| 165 |
-
"eval_samples_per_second":
|
| 166 |
-
"eval_steps_per_second":
|
| 167 |
-
"step":
|
| 168 |
},
|
| 169 |
{
|
| 170 |
-
"epoch":
|
| 171 |
-
"
|
| 172 |
-
"
|
| 173 |
-
"
|
| 174 |
-
|
| 175 |
-
|
| 176 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 177 |
},
|
| 178 |
{
|
| 179 |
-
"epoch":
|
| 180 |
-
"eval_f1": 0.
|
| 181 |
-
"eval_loss": 0.
|
| 182 |
-
"eval_runtime": 0.
|
| 183 |
-
"eval_samples_per_second":
|
| 184 |
-
"eval_steps_per_second":
|
| 185 |
-
"step":
|
| 186 |
},
|
| 187 |
{
|
| 188 |
-
"epoch":
|
| 189 |
-
"eval_f1": 0.
|
| 190 |
-
"eval_loss": 0.
|
| 191 |
-
"eval_runtime": 0.
|
| 192 |
-
"eval_samples_per_second":
|
| 193 |
-
"eval_steps_per_second":
|
| 194 |
-
"step":
|
| 195 |
},
|
| 196 |
{
|
| 197 |
-
"epoch":
|
| 198 |
-
"step":
|
| 199 |
-
"total_flos":
|
| 200 |
-
"train_loss": 0.
|
| 201 |
-
"train_runtime":
|
| 202 |
-
"train_samples_per_second":
|
| 203 |
-
"train_steps_per_second": 0.
|
| 204 |
}
|
| 205 |
],
|
| 206 |
-
"max_steps":
|
| 207 |
-
"num_train_epochs":
|
| 208 |
-
"total_flos":
|
| 209 |
"trial_name": null,
|
| 210 |
"trial_params": null
|
| 211 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.8837209302325582,
|
| 3 |
+
"best_model_checkpoint": "Cvt-finetuned-thyroid/checkpoint-27",
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"global_step": 90,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
+
"epoch": 1.0,
|
| 12 |
+
"eval_f1": 0.5052631578947367,
|
| 13 |
+
"eval_loss": 0.687919557094574,
|
| 14 |
+
"eval_runtime": 0.6589,
|
| 15 |
+
"eval_samples_per_second": 144.182,
|
| 16 |
+
"eval_steps_per_second": 4.553,
|
| 17 |
+
"step": 3
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
},
|
| 19 |
{
|
| 20 |
+
"epoch": 2.0,
|
| 21 |
+
"eval_f1": 0.673076923076923,
|
| 22 |
+
"eval_loss": 0.6748365759849548,
|
| 23 |
+
"eval_runtime": 0.6341,
|
| 24 |
+
"eval_samples_per_second": 149.822,
|
| 25 |
+
"eval_steps_per_second": 4.731,
|
| 26 |
+
"step": 6
|
| 27 |
},
|
| 28 |
{
|
| 29 |
+
"epoch": 3.0,
|
| 30 |
+
"eval_f1": 0.8034188034188033,
|
| 31 |
+
"eval_loss": 0.6552020311355591,
|
| 32 |
+
"eval_runtime": 0.6415,
|
| 33 |
+
"eval_samples_per_second": 148.089,
|
| 34 |
+
"eval_steps_per_second": 4.676,
|
| 35 |
+
"step": 9
|
| 36 |
},
|
| 37 |
{
|
| 38 |
+
"epoch": 4.0,
|
| 39 |
+
"eval_f1": 0.88,
|
| 40 |
+
"eval_loss": 0.6357027888298035,
|
| 41 |
+
"eval_runtime": 0.6465,
|
| 42 |
+
"eval_samples_per_second": 146.936,
|
| 43 |
+
"eval_steps_per_second": 4.64,
|
| 44 |
"step": 12
|
| 45 |
},
|
| 46 |
{
|
| 47 |
+
"epoch": 5.0,
|
| 48 |
+
"eval_f1": 0.8615384615384616,
|
| 49 |
+
"eval_loss": 0.6192407011985779,
|
| 50 |
+
"eval_runtime": 0.6387,
|
| 51 |
+
"eval_samples_per_second": 148.729,
|
| 52 |
+
"eval_steps_per_second": 4.697,
|
| 53 |
+
"step": 15
|
| 54 |
},
|
| 55 |
{
|
| 56 |
+
"epoch": 6.0,
|
| 57 |
+
"eval_f1": 0.8769230769230769,
|
| 58 |
+
"eval_loss": 0.604374349117279,
|
| 59 |
+
"eval_runtime": 0.645,
|
| 60 |
+
"eval_samples_per_second": 147.298,
|
| 61 |
+
"eval_steps_per_second": 4.652,
|
| 62 |
+
"step": 18
|
| 63 |
},
|
| 64 |
{
|
| 65 |
+
"epoch": 7.0,
|
| 66 |
+
"eval_f1": 0.8769230769230769,
|
| 67 |
+
"eval_loss": 0.5909456014633179,
|
| 68 |
+
"eval_runtime": 0.6526,
|
| 69 |
+
"eval_samples_per_second": 145.576,
|
| 70 |
+
"eval_steps_per_second": 4.597,
|
| 71 |
+
"step": 21
|
| 72 |
},
|
| 73 |
{
|
| 74 |
+
"epoch": 8.0,
|
| 75 |
+
"eval_f1": 0.8769230769230769,
|
| 76 |
+
"eval_loss": 0.5791701674461365,
|
| 77 |
+
"eval_runtime": 0.6491,
|
| 78 |
+
"eval_samples_per_second": 146.347,
|
| 79 |
+
"eval_steps_per_second": 4.621,
|
| 80 |
+
"step": 24
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"epoch": 8.33,
|
| 84 |
+
"learning_rate": 8.024691358024692e-06,
|
| 85 |
+
"loss": 0.638,
|
| 86 |
+
"step": 25
|
|
|
|
|
|
|
|
|
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 9.0,
|
| 90 |
+
"eval_f1": 0.8837209302325582,
|
| 91 |
+
"eval_loss": 0.5682619214057922,
|
| 92 |
+
"eval_runtime": 0.6497,
|
| 93 |
+
"eval_samples_per_second": 146.222,
|
| 94 |
+
"eval_steps_per_second": 4.618,
|
| 95 |
+
"step": 27
|
| 96 |
},
|
| 97 |
{
|
| 98 |
+
"epoch": 10.0,
|
| 99 |
+
"eval_f1": 0.8837209302325582,
|
| 100 |
+
"eval_loss": 0.5576053261756897,
|
| 101 |
+
"eval_runtime": 0.653,
|
| 102 |
+
"eval_samples_per_second": 145.478,
|
| 103 |
+
"eval_steps_per_second": 4.594,
|
| 104 |
+
"step": 30
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 11.0,
|
| 108 |
+
"eval_f1": 0.8837209302325582,
|
| 109 |
+
"eval_loss": 0.5474461913108826,
|
| 110 |
+
"eval_runtime": 0.651,
|
| 111 |
+
"eval_samples_per_second": 145.928,
|
| 112 |
+
"eval_steps_per_second": 4.608,
|
| 113 |
+
"step": 33
|
| 114 |
},
|
| 115 |
{
|
| 116 |
+
"epoch": 12.0,
|
| 117 |
+
"eval_f1": 0.8837209302325582,
|
| 118 |
+
"eval_loss": 0.5376133322715759,
|
| 119 |
+
"eval_runtime": 0.6594,
|
| 120 |
+
"eval_samples_per_second": 144.075,
|
| 121 |
+
"eval_steps_per_second": 4.55,
|
| 122 |
+
"step": 36
|
| 123 |
},
|
| 124 |
{
|
| 125 |
+
"epoch": 13.0,
|
| 126 |
+
"eval_f1": 0.8837209302325582,
|
| 127 |
+
"eval_loss": 0.5282223224639893,
|
| 128 |
+
"eval_runtime": 0.6631,
|
| 129 |
+
"eval_samples_per_second": 143.267,
|
| 130 |
+
"eval_steps_per_second": 4.524,
|
| 131 |
+
"step": 39
|
| 132 |
},
|
| 133 |
{
|
| 134 |
+
"epoch": 14.0,
|
| 135 |
+
"eval_f1": 0.8837209302325582,
|
| 136 |
+
"eval_loss": 0.5196569561958313,
|
| 137 |
+
"eval_runtime": 0.6551,
|
| 138 |
+
"eval_samples_per_second": 145.016,
|
| 139 |
+
"eval_steps_per_second": 4.579,
|
| 140 |
+
"step": 42
|
| 141 |
},
|
| 142 |
{
|
| 143 |
+
"epoch": 15.0,
|
| 144 |
+
"eval_f1": 0.8837209302325582,
|
| 145 |
+
"eval_loss": 0.5118635296821594,
|
| 146 |
+
"eval_runtime": 0.6658,
|
| 147 |
+
"eval_samples_per_second": 142.69,
|
| 148 |
+
"eval_steps_per_second": 4.506,
|
| 149 |
+
"step": 45
|
| 150 |
},
|
| 151 |
{
|
| 152 |
+
"epoch": 16.0,
|
| 153 |
+
"eval_f1": 0.8837209302325582,
|
| 154 |
+
"eval_loss": 0.5053044557571411,
|
| 155 |
+
"eval_runtime": 0.6565,
|
| 156 |
+
"eval_samples_per_second": 144.71,
|
| 157 |
+
"eval_steps_per_second": 4.57,
|
| 158 |
+
"step": 48
|
| 159 |
},
|
| 160 |
{
|
| 161 |
+
"epoch": 16.67,
|
| 162 |
+
"learning_rate": 4.938271604938272e-06,
|
| 163 |
+
"loss": 0.4926,
|
| 164 |
+
"step": 50
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 17.0,
|
| 168 |
+
"eval_f1": 0.8837209302325582,
|
| 169 |
+
"eval_loss": 0.49933797121047974,
|
| 170 |
+
"eval_runtime": 0.6612,
|
| 171 |
+
"eval_samples_per_second": 143.679,
|
| 172 |
+
"eval_steps_per_second": 4.537,
|
| 173 |
+
"step": 51
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 18.0,
|
| 177 |
+
"eval_f1": 0.8837209302325582,
|
| 178 |
+
"eval_loss": 0.4940946102142334,
|
| 179 |
+
"eval_runtime": 0.661,
|
| 180 |
+
"eval_samples_per_second": 143.726,
|
| 181 |
+
"eval_steps_per_second": 4.539,
|
| 182 |
+
"step": 54
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 19.0,
|
| 186 |
+
"eval_f1": 0.8837209302325582,
|
| 187 |
+
"eval_loss": 0.4895910918712616,
|
| 188 |
+
"eval_runtime": 0.6623,
|
| 189 |
+
"eval_samples_per_second": 143.44,
|
| 190 |
+
"eval_steps_per_second": 4.53,
|
| 191 |
+
"step": 57
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 20.0,
|
| 195 |
+
"eval_f1": 0.8837209302325582,
|
| 196 |
+
"eval_loss": 0.4853971004486084,
|
| 197 |
+
"eval_runtime": 0.6837,
|
| 198 |
+
"eval_samples_per_second": 138.946,
|
| 199 |
+
"eval_steps_per_second": 4.388,
|
| 200 |
+
"step": 60
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 21.0,
|
| 204 |
+
"eval_f1": 0.8837209302325582,
|
| 205 |
+
"eval_loss": 0.48188260197639465,
|
| 206 |
+
"eval_runtime": 0.6669,
|
| 207 |
+
"eval_samples_per_second": 142.45,
|
| 208 |
+
"eval_steps_per_second": 4.498,
|
| 209 |
+
"step": 63
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 22.0,
|
| 213 |
+
"eval_f1": 0.8837209302325582,
|
| 214 |
+
"eval_loss": 0.4790306091308594,
|
| 215 |
+
"eval_runtime": 0.6675,
|
| 216 |
+
"eval_samples_per_second": 142.322,
|
| 217 |
+
"eval_steps_per_second": 4.494,
|
| 218 |
+
"step": 66
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 23.0,
|
| 222 |
+
"eval_f1": 0.8837209302325582,
|
| 223 |
+
"eval_loss": 0.47673219442367554,
|
| 224 |
+
"eval_runtime": 0.6755,
|
| 225 |
+
"eval_samples_per_second": 140.639,
|
| 226 |
+
"eval_steps_per_second": 4.441,
|
| 227 |
+
"step": 69
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 24.0,
|
| 231 |
+
"eval_f1": 0.8837209302325582,
|
| 232 |
+
"eval_loss": 0.4748006761074066,
|
| 233 |
+
"eval_runtime": 0.6675,
|
| 234 |
+
"eval_samples_per_second": 142.313,
|
| 235 |
+
"eval_steps_per_second": 4.494,
|
| 236 |
+
"step": 72
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 25.0,
|
| 240 |
+
"learning_rate": 1.8518518518518519e-06,
|
| 241 |
+
"loss": 0.4289,
|
| 242 |
+
"step": 75
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 25.0,
|
| 246 |
+
"eval_f1": 0.8837209302325582,
|
| 247 |
+
"eval_loss": 0.4731859564781189,
|
| 248 |
+
"eval_runtime": 0.6627,
|
| 249 |
+
"eval_samples_per_second": 143.353,
|
| 250 |
+
"eval_steps_per_second": 4.527,
|
| 251 |
+
"step": 75
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 26.0,
|
| 255 |
+
"eval_f1": 0.8837209302325582,
|
| 256 |
+
"eval_loss": 0.4718676507472992,
|
| 257 |
+
"eval_runtime": 0.6719,
|
| 258 |
+
"eval_samples_per_second": 141.397,
|
| 259 |
+
"eval_steps_per_second": 4.465,
|
| 260 |
+
"step": 78
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 27.0,
|
| 264 |
+
"eval_f1": 0.8837209302325582,
|
| 265 |
+
"eval_loss": 0.4708217680454254,
|
| 266 |
+
"eval_runtime": 0.68,
|
| 267 |
+
"eval_samples_per_second": 139.706,
|
| 268 |
+
"eval_steps_per_second": 4.412,
|
| 269 |
+
"step": 81
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 28.0,
|
| 273 |
+
"eval_f1": 0.8837209302325582,
|
| 274 |
+
"eval_loss": 0.47011542320251465,
|
| 275 |
+
"eval_runtime": 0.6739,
|
| 276 |
+
"eval_samples_per_second": 140.966,
|
| 277 |
+
"eval_steps_per_second": 4.452,
|
| 278 |
+
"step": 84
|
| 279 |
},
|
| 280 |
{
|
| 281 |
+
"epoch": 29.0,
|
| 282 |
+
"eval_f1": 0.8837209302325582,
|
| 283 |
+
"eval_loss": 0.4697326123714447,
|
| 284 |
+
"eval_runtime": 0.6728,
|
| 285 |
+
"eval_samples_per_second": 141.199,
|
| 286 |
+
"eval_steps_per_second": 4.459,
|
| 287 |
+
"step": 87
|
| 288 |
},
|
| 289 |
{
|
| 290 |
+
"epoch": 30.0,
|
| 291 |
+
"eval_f1": 0.8837209302325582,
|
| 292 |
+
"eval_loss": 0.4695647060871124,
|
| 293 |
+
"eval_runtime": 0.6801,
|
| 294 |
+
"eval_samples_per_second": 139.689,
|
| 295 |
+
"eval_steps_per_second": 4.411,
|
| 296 |
+
"step": 90
|
| 297 |
},
|
| 298 |
{
|
| 299 |
+
"epoch": 30.0,
|
| 300 |
+
"step": 90,
|
| 301 |
+
"total_flos": 2.8570124903878656e+17,
|
| 302 |
+
"train_loss": 0.5013438595665826,
|
| 303 |
+
"train_runtime": 222.831,
|
| 304 |
+
"train_samples_per_second": 51.025,
|
| 305 |
+
"train_steps_per_second": 0.404
|
| 306 |
}
|
| 307 |
],
|
| 308 |
+
"max_steps": 90,
|
| 309 |
+
"num_train_epochs": 30,
|
| 310 |
+
"total_flos": 2.8570124903878656e+17,
|
| 311 |
"trial_name": null,
|
| 312 |
"trial_params": null
|
| 313 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3311
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6605b4550676653f6a9e7bbcb528bc7fd05170d1b839094df3e2a84195ed6b46
|
| 3 |
size 3311
|