Upload trained model
Browse files- README.md +5 -5
- all_results.json +8 -0
- runs/Jun09_15-00-30_236d6e780da0/events.out.tfevents.1749482612.236d6e780da0.523.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +310 -0
README.md
CHANGED
|
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 21 |
|
| 22 |
This model is a fine-tuned version of [BTX24/hiera-base-224-in1k-hf-finetuned-stroke-binary](https://huggingface.co/BTX24/hiera-base-224-in1k-hf-finetuned-stroke-binary) on an unknown dataset.
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
-
- Loss: 0.
|
| 25 |
-
- Accuracy: 0.
|
| 26 |
-
- F1: 0.
|
| 27 |
-
- Precision: 0.
|
| 28 |
-
- Recall: 0.
|
| 29 |
|
| 30 |
## Model description
|
| 31 |
|
|
|
|
| 21 |
|
| 22 |
This model is a fine-tuned version of [BTX24/hiera-base-224-in1k-hf-finetuned-stroke-binary](https://huggingface.co/BTX24/hiera-base-224-in1k-hf-finetuned-stroke-binary) on an unknown dataset.
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
+
- Loss: 0.0648
|
| 25 |
+
- Accuracy: 0.9861
|
| 26 |
+
- F1: 0.9861
|
| 27 |
+
- Precision: 0.9862
|
| 28 |
+
- Recall: 0.9861
|
| 29 |
|
| 30 |
## Model description
|
| 31 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 12.0,
|
| 3 |
+
"total_flos": 3.1692355393112064e+18,
|
| 4 |
+
"train_loss": 0.048116779152726954,
|
| 5 |
+
"train_runtime": 1311.0723,
|
| 6 |
+
"train_samples_per_second": 52.729,
|
| 7 |
+
"train_steps_per_second": 0.833
|
| 8 |
+
}
|
runs/Jun09_15-00-30_236d6e780da0/events.out.tfevents.1749482612.236d6e780da0.523.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b7e8464fec94a78c73988313a1e10bfe2446da2cbefcda02e5a05f0db0b9f77
|
| 3 |
+
size 560
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 12.0,
|
| 3 |
+
"total_flos": 3.1692355393112064e+18,
|
| 4 |
+
"train_loss": 0.048116779152726954,
|
| 5 |
+
"train_runtime": 1311.0723,
|
| 6 |
+
"train_samples_per_second": 52.729,
|
| 7 |
+
"train_steps_per_second": 0.833
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,310 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 800,
|
| 3 |
+
"best_metric": 0.9861160209367208,
|
| 4 |
+
"best_model_checkpoint": "hiera-finetuned-stroke-multi/checkpoint-800",
|
| 5 |
+
"epoch": 12.0,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 1092,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.554016620498615,
|
| 14 |
+
"grad_norm": 12.229708671569824,
|
| 15 |
+
"learning_rate": 8.727272727272728e-06,
|
| 16 |
+
"loss": 0.0578,
|
| 17 |
+
"step": 50
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 1.0997229916897506,
|
| 21 |
+
"grad_norm": Infinity,
|
| 22 |
+
"learning_rate": 1.781818181818182e-05,
|
| 23 |
+
"loss": 0.0612,
|
| 24 |
+
"step": 100
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 1.0997229916897506,
|
| 28 |
+
"eval_accuracy": 0.963913948646773,
|
| 29 |
+
"eval_f1": 0.9634566601928356,
|
| 30 |
+
"eval_loss": 0.1258896440267563,
|
| 31 |
+
"eval_precision": 0.9646840164123915,
|
| 32 |
+
"eval_recall": 0.963913948646773,
|
| 33 |
+
"eval_runtime": 11.8652,
|
| 34 |
+
"eval_samples_per_second": 121.448,
|
| 35 |
+
"eval_steps_per_second": 15.255,
|
| 36 |
+
"step": 100
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 1.6537396121883656,
|
| 40 |
+
"grad_norm": 14.079134941101074,
|
| 41 |
+
"learning_rate": 1.9930024972933966e-05,
|
| 42 |
+
"loss": 0.0901,
|
| 43 |
+
"step": 150
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"epoch": 2.1994459833795013,
|
| 47 |
+
"grad_norm": 6.2245001792907715,
|
| 48 |
+
"learning_rate": 1.9615160313232122e-05,
|
| 49 |
+
"loss": 0.0694,
|
| 50 |
+
"step": 200
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 2.1994459833795013,
|
| 54 |
+
"eval_accuracy": 0.9777931991672449,
|
| 55 |
+
"eval_f1": 0.9776500351660441,
|
| 56 |
+
"eval_loss": 0.0734671950340271,
|
| 57 |
+
"eval_precision": 0.9779683888397975,
|
| 58 |
+
"eval_recall": 0.9777931991672449,
|
| 59 |
+
"eval_runtime": 11.5615,
|
| 60 |
+
"eval_samples_per_second": 124.637,
|
| 61 |
+
"eval_steps_per_second": 15.655,
|
| 62 |
+
"step": 200
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.7534626038781163,
|
| 66 |
+
"grad_norm": 8.907445907592773,
|
| 67 |
+
"learning_rate": 1.905479814346962e-05,
|
| 68 |
+
"loss": 0.0759,
|
| 69 |
+
"step": 250
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 3.299168975069252,
|
| 73 |
+
"grad_norm": 8.01183795928955,
|
| 74 |
+
"learning_rate": 1.8263245819210745e-05,
|
| 75 |
+
"loss": 0.0632,
|
| 76 |
+
"step": 300
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 3.299168975069252,
|
| 80 |
+
"eval_accuracy": 0.9764052741151977,
|
| 81 |
+
"eval_f1": 0.9762893004716909,
|
| 82 |
+
"eval_loss": 0.08674201369285583,
|
| 83 |
+
"eval_precision": 0.9765146969702094,
|
| 84 |
+
"eval_recall": 0.9764052741151977,
|
| 85 |
+
"eval_runtime": 10.4868,
|
| 86 |
+
"eval_samples_per_second": 137.411,
|
| 87 |
+
"eval_steps_per_second": 17.26,
|
| 88 |
+
"step": 300
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 3.853185595567867,
|
| 92 |
+
"grad_norm": 18.632911682128906,
|
| 93 |
+
"learning_rate": 1.726071352087451e-05,
|
| 94 |
+
"loss": 0.0765,
|
| 95 |
+
"step": 350
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 4.3988919667590025,
|
| 99 |
+
"grad_norm": 3.3034017086029053,
|
| 100 |
+
"learning_rate": 1.609818420534627e-05,
|
| 101 |
+
"loss": 0.064,
|
| 102 |
+
"step": 400
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 4.3988919667590025,
|
| 106 |
+
"eval_accuracy": 0.9826509368494102,
|
| 107 |
+
"eval_f1": 0.9826055074466569,
|
| 108 |
+
"eval_loss": 0.0677182748913765,
|
| 109 |
+
"eval_precision": 0.9826109101098727,
|
| 110 |
+
"eval_recall": 0.9826509368494102,
|
| 111 |
+
"eval_runtime": 11.5916,
|
| 112 |
+
"eval_samples_per_second": 124.314,
|
| 113 |
+
"eval_steps_per_second": 15.615,
|
| 114 |
+
"step": 400
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 4.9529085872576175,
|
| 118 |
+
"grad_norm": 0.8745527267456055,
|
| 119 |
+
"learning_rate": 1.475799302451547e-05,
|
| 120 |
+
"loss": 0.0352,
|
| 121 |
+
"step": 450
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 5.498614958448753,
|
| 125 |
+
"grad_norm": 15.552165985107422,
|
| 126 |
+
"learning_rate": 1.3296319164004646e-05,
|
| 127 |
+
"loss": 0.0614,
|
| 128 |
+
"step": 500
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 5.498614958448753,
|
| 132 |
+
"eval_accuracy": 0.9826509368494102,
|
| 133 |
+
"eval_f1": 0.9827236461969681,
|
| 134 |
+
"eval_loss": 0.07660220563411713,
|
| 135 |
+
"eval_precision": 0.9829795881792385,
|
| 136 |
+
"eval_recall": 0.9826509368494102,
|
| 137 |
+
"eval_runtime": 11.5363,
|
| 138 |
+
"eval_samples_per_second": 124.91,
|
| 139 |
+
"eval_steps_per_second": 15.69,
|
| 140 |
+
"step": 500
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 6.044321329639889,
|
| 144 |
+
"grad_norm": 8.493371963500977,
|
| 145 |
+
"learning_rate": 1.1750482572892781e-05,
|
| 146 |
+
"loss": 0.0504,
|
| 147 |
+
"step": 550
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 6.598337950138504,
|
| 151 |
+
"grad_norm": 5.444666385650635,
|
| 152 |
+
"learning_rate": 1.0159952071429953e-05,
|
| 153 |
+
"loss": 0.0361,
|
| 154 |
+
"step": 600
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 6.598337950138504,
|
| 158 |
+
"eval_accuracy": 0.9764052741151977,
|
| 159 |
+
"eval_f1": 0.9762853272761889,
|
| 160 |
+
"eval_loss": 0.10010161995887756,
|
| 161 |
+
"eval_precision": 0.9763734760239566,
|
| 162 |
+
"eval_recall": 0.9764052741151977,
|
| 163 |
+
"eval_runtime": 11.3884,
|
| 164 |
+
"eval_samples_per_second": 126.532,
|
| 165 |
+
"eval_steps_per_second": 15.893,
|
| 166 |
+
"step": 600
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 7.14404432132964,
|
| 170 |
+
"grad_norm": 2.581049680709839,
|
| 171 |
+
"learning_rate": 8.565337619831516e-06,
|
| 172 |
+
"loss": 0.0297,
|
| 173 |
+
"step": 650
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 7.698060941828254,
|
| 177 |
+
"grad_norm": 0.20306643843650818,
|
| 178 |
+
"learning_rate": 7.007353451102557e-06,
|
| 179 |
+
"loss": 0.0321,
|
| 180 |
+
"step": 700
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 7.698060941828254,
|
| 184 |
+
"eval_accuracy": 0.9826509368494102,
|
| 185 |
+
"eval_f1": 0.9826866377257144,
|
| 186 |
+
"eval_loss": 0.07007652521133423,
|
| 187 |
+
"eval_precision": 0.982752646764885,
|
| 188 |
+
"eval_recall": 0.9826509368494102,
|
| 189 |
+
"eval_runtime": 11.7663,
|
| 190 |
+
"eval_samples_per_second": 122.468,
|
| 191 |
+
"eval_steps_per_second": 15.383,
|
| 192 |
+
"step": 700
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 8.24376731301939,
|
| 196 |
+
"grad_norm": 4.626258850097656,
|
| 197 |
+
"learning_rate": 5.52577854153435e-06,
|
| 198 |
+
"loss": 0.0344,
|
| 199 |
+
"step": 750
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 8.797783933518005,
|
| 203 |
+
"grad_norm": 0.3179256021976471,
|
| 204 |
+
"learning_rate": 4.184436663838245e-06,
|
| 205 |
+
"loss": 0.0495,
|
| 206 |
+
"step": 800
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 8.797783933518005,
|
| 210 |
+
"eval_accuracy": 0.9861207494795281,
|
| 211 |
+
"eval_f1": 0.9861160209367208,
|
| 212 |
+
"eval_loss": 0.06481500715017319,
|
| 213 |
+
"eval_precision": 0.9862368013315075,
|
| 214 |
+
"eval_recall": 0.9861207494795281,
|
| 215 |
+
"eval_runtime": 11.6949,
|
| 216 |
+
"eval_samples_per_second": 123.217,
|
| 217 |
+
"eval_steps_per_second": 15.477,
|
| 218 |
+
"step": 800
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 9.34349030470914,
|
| 222 |
+
"grad_norm": 11.409143447875977,
|
| 223 |
+
"learning_rate": 2.9629458799268897e-06,
|
| 224 |
+
"loss": 0.026,
|
| 225 |
+
"step": 850
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 9.897506925207756,
|
| 229 |
+
"grad_norm": 10.00415325164795,
|
| 230 |
+
"learning_rate": 1.921127530833138e-06,
|
| 231 |
+
"loss": 0.0339,
|
| 232 |
+
"step": 900
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 9.897506925207756,
|
| 236 |
+
"eval_accuracy": 0.9854267869535045,
|
| 237 |
+
"eval_f1": 0.9854149021422898,
|
| 238 |
+
"eval_loss": 0.06154085695743561,
|
| 239 |
+
"eval_precision": 0.9854658526912934,
|
| 240 |
+
"eval_recall": 0.9854267869535045,
|
| 241 |
+
"eval_runtime": 10.7933,
|
| 242 |
+
"eval_samples_per_second": 133.509,
|
| 243 |
+
"eval_steps_per_second": 16.77,
|
| 244 |
+
"step": 900
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 10.443213296398891,
|
| 248 |
+
"grad_norm": 23.903621673583984,
|
| 249 |
+
"learning_rate": 1.085581673374142e-06,
|
| 250 |
+
"loss": 0.0218,
|
| 251 |
+
"step": 950
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 10.997229916897506,
|
| 255 |
+
"grad_norm": 3.228843927383423,
|
| 256 |
+
"learning_rate": 4.776417456690152e-07,
|
| 257 |
+
"loss": 0.0384,
|
| 258 |
+
"step": 1000
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 10.997229916897506,
|
| 262 |
+
"eval_accuracy": 0.9854267869535045,
|
| 263 |
+
"eval_f1": 0.9854256575661703,
|
| 264 |
+
"eval_loss": 0.06275035440921783,
|
| 265 |
+
"eval_precision": 0.9854572946717711,
|
| 266 |
+
"eval_recall": 0.9854267869535045,
|
| 267 |
+
"eval_runtime": 11.6474,
|
| 268 |
+
"eval_samples_per_second": 123.718,
|
| 269 |
+
"eval_steps_per_second": 15.54,
|
| 270 |
+
"step": 1000
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 11.542936288088642,
|
| 274 |
+
"grad_norm": 3.3184566497802734,
|
| 275 |
+
"learning_rate": 1.1282987461486927e-07,
|
| 276 |
+
"loss": 0.024,
|
| 277 |
+
"step": 1050
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 12.0,
|
| 281 |
+
"step": 1092,
|
| 282 |
+
"total_flos": 3.1692355393112064e+18,
|
| 283 |
+
"train_loss": 0.048116779152726954,
|
| 284 |
+
"train_runtime": 1311.0723,
|
| 285 |
+
"train_samples_per_second": 52.729,
|
| 286 |
+
"train_steps_per_second": 0.833
|
| 287 |
+
}
|
| 288 |
+
],
|
| 289 |
+
"logging_steps": 50,
|
| 290 |
+
"max_steps": 1092,
|
| 291 |
+
"num_input_tokens_seen": 0,
|
| 292 |
+
"num_train_epochs": 12,
|
| 293 |
+
"save_steps": 100,
|
| 294 |
+
"stateful_callbacks": {
|
| 295 |
+
"TrainerControl": {
|
| 296 |
+
"args": {
|
| 297 |
+
"should_epoch_stop": false,
|
| 298 |
+
"should_evaluate": false,
|
| 299 |
+
"should_log": false,
|
| 300 |
+
"should_save": true,
|
| 301 |
+
"should_training_stop": true
|
| 302 |
+
},
|
| 303 |
+
"attributes": {}
|
| 304 |
+
}
|
| 305 |
+
},
|
| 306 |
+
"total_flos": 3.1692355393112064e+18,
|
| 307 |
+
"train_batch_size": 16,
|
| 308 |
+
"trial_name": null,
|
| 309 |
+
"trial_params": null
|
| 310 |
+
}
|