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gpt2-kit-TLDR_100
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0927
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 3.5116 |
| No log | 2.0 | 12 | 2.8345 |
| No log | 3.0 | 18 | 2.4549 |
| No log | 4.0 | 24 | 2.2672 |
| No log | 5.0 | 30 | 2.1318 |
| No log | 6.0 | 36 | 2.0241 |
| No log | 7.0 | 42 | 1.9446 |
| No log | 8.0 | 48 | 1.8859 |
| No log | 9.0 | 54 | 1.8432 |
| No log | 10.0 | 60 | 1.8038 |
| No log | 11.0 | 66 | 1.7691 |
| No log | 12.0 | 72 | 1.7473 |
| No log | 13.0 | 78 | 1.7169 |
| No log | 14.0 | 84 | 1.7055 |
| No log | 15.0 | 90 | 1.6911 |
| No log | 16.0 | 96 | 1.6842 |
| No log | 17.0 | 102 | 1.6711 |
| No log | 18.0 | 108 | 1.6609 |
| No log | 19.0 | 114 | 1.6582 |
| No log | 20.0 | 120 | 1.6518 |
| No log | 21.0 | 126 | 1.6519 |
| No log | 22.0 | 132 | 1.6736 |
| No log | 23.0 | 138 | 1.6529 |
| No log | 24.0 | 144 | 1.6738 |
| No log | 25.0 | 150 | 1.6636 |
| No log | 26.0 | 156 | 1.6510 |
| No log | 27.0 | 162 | 1.6793 |
| No log | 28.0 | 168 | 1.6638 |
| No log | 29.0 | 174 | 1.6743 |
| No log | 30.0 | 180 | 1.6827 |
| No log | 31.0 | 186 | 1.6757 |
| No log | 32.0 | 192 | 1.6947 |
| No log | 33.0 | 198 | 1.6969 |
| No log | 34.0 | 204 | 1.6967 |
| No log | 35.0 | 210 | 1.7152 |
| No log | 36.0 | 216 | 1.7040 |
| No log | 37.0 | 222 | 1.7261 |
| No log | 38.0 | 228 | 1.7267 |
| No log | 39.0 | 234 | 1.7309 |
| No log | 40.0 | 240 | 1.7514 |
| No log | 41.0 | 246 | 1.7474 |
| No log | 42.0 | 252 | 1.7605 |
| No log | 43.0 | 258 | 1.7584 |
| No log | 44.0 | 264 | 1.7817 |
| No log | 45.0 | 270 | 1.7860 |
| No log | 46.0 | 276 | 1.7870 |
| No log | 47.0 | 282 | 1.8184 |
| No log | 48.0 | 288 | 1.8138 |
| No log | 49.0 | 294 | 1.8304 |
| No log | 50.0 | 300 | 1.8314 |
| No log | 51.0 | 306 | 1.8236 |
| No log | 52.0 | 312 | 1.8518 |
| No log | 53.0 | 318 | 1.8497 |
| No log | 54.0 | 324 | 1.8685 |
| No log | 55.0 | 330 | 1.8666 |
| No log | 56.0 | 336 | 1.8769 |
| No log | 57.0 | 342 | 1.8987 |
| No log | 58.0 | 348 | 1.8971 |
| No log | 59.0 | 354 | 1.9251 |
| No log | 60.0 | 360 | 1.9175 |
| No log | 61.0 | 366 | 1.9014 |
| No log | 62.0 | 372 | 1.9187 |
| No log | 63.0 | 378 | 1.9326 |
| No log | 64.0 | 384 | 1.9401 |
| No log | 65.0 | 390 | 1.9453 |
| No log | 66.0 | 396 | 1.9523 |
| No log | 67.0 | 402 | 1.9818 |
| No log | 68.0 | 408 | 1.9802 |
| No log | 69.0 | 414 | 1.9813 |
| No log | 70.0 | 420 | 1.9797 |
| No log | 71.0 | 426 | 2.0078 |
| No log | 72.0 | 432 | 2.0135 |
| No log | 73.0 | 438 | 2.0050 |
| No log | 74.0 | 444 | 2.0082 |
| No log | 75.0 | 450 | 2.0360 |
| No log | 76.0 | 456 | 2.0310 |
| No log | 77.0 | 462 | 2.0093 |
| No log | 78.0 | 468 | 2.0108 |
| No log | 79.0 | 474 | 2.0347 |
| No log | 80.0 | 480 | 2.0559 |
| No log | 81.0 | 486 | 2.0624 |
| No log | 82.0 | 492 | 2.0562 |
| No log | 83.0 | 498 | 2.0367 |
| 1.0231 | 84.0 | 504 | 2.0499 |
| 1.0231 | 85.0 | 510 | 2.0606 |
| 1.0231 | 86.0 | 516 | 2.0652 |
| 1.0231 | 87.0 | 522 | 2.0565 |
| 1.0231 | 88.0 | 528 | 2.0612 |
| 1.0231 | 89.0 | 534 | 2.0706 |
| 1.0231 | 90.0 | 540 | 2.0714 |
| 1.0231 | 91.0 | 546 | 2.0740 |
| 1.0231 | 92.0 | 552 | 2.0700 |
| 1.0231 | 93.0 | 558 | 2.0705 |
| 1.0231 | 94.0 | 564 | 2.0787 |
| 1.0231 | 95.0 | 570 | 2.0881 |
| 1.0231 | 96.0 | 576 | 2.0913 |
| 1.0231 | 97.0 | 582 | 2.0933 |
| 1.0231 | 98.0 | 588 | 2.0949 |
| 1.0231 | 99.0 | 594 | 2.0929 |
| 1.0231 | 100.0 | 600 | 2.0927 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Tokenizers 0.12.1
