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distilbert-finetuned-lr1e-07-epochs50
This model is a fine-tuned version of distilbert-base-cased-distilled-squad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.0791
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: 1e-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 10 | 6.3771 |
| No log | 2.0 | 20 | 6.2726 |
| No log | 3.0 | 30 | 6.1763 |
| No log | 4.0 | 40 | 6.0874 |
| No log | 5.0 | 50 | 6.0031 |
| No log | 6.0 | 60 | 5.9324 |
| No log | 7.0 | 70 | 5.8631 |
| No log | 8.0 | 80 | 5.7979 |
| No log | 9.0 | 90 | 5.7419 |
| No log | 10.0 | 100 | 5.6885 |
| No log | 11.0 | 110 | 5.6398 |
| No log | 12.0 | 120 | 5.5935 |
| No log | 13.0 | 130 | 5.5529 |
| No log | 14.0 | 140 | 5.5161 |
| No log | 15.0 | 150 | 5.4811 |
| No log | 16.0 | 160 | 5.4510 |
| No log | 17.0 | 170 | 5.4228 |
| No log | 18.0 | 180 | 5.3964 |
| No log | 19.0 | 190 | 5.3720 |
| No log | 20.0 | 200 | 5.3489 |
| No log | 21.0 | 210 | 5.3276 |
| No log | 22.0 | 220 | 5.3074 |
| No log | 23.0 | 230 | 5.2877 |
| No log | 24.0 | 240 | 5.2698 |
| No log | 25.0 | 250 | 5.2526 |
| No log | 26.0 | 260 | 5.2368 |
| No log | 27.0 | 270 | 5.2228 |
| No log | 28.0 | 280 | 5.2092 |
| No log | 29.0 | 290 | 5.1971 |
| No log | 30.0 | 300 | 5.1854 |
| No log | 31.0 | 310 | 5.1746 |
| No log | 32.0 | 320 | 5.1642 |
| No log | 33.0 | 330 | 5.1541 |
| No log | 34.0 | 340 | 5.1452 |
| No log | 35.0 | 350 | 5.1367 |
| No log | 36.0 | 360 | 5.1286 |
| No log | 37.0 | 370 | 5.1218 |
| No log | 38.0 | 380 | 5.1156 |
| No log | 39.0 | 390 | 5.1093 |
| No log | 40.0 | 400 | 5.1039 |
| No log | 41.0 | 410 | 5.0988 |
| No log | 42.0 | 420 | 5.0947 |
| No log | 43.0 | 430 | 5.0909 |
| No log | 44.0 | 440 | 5.0877 |
| No log | 45.0 | 450 | 5.0850 |
| No log | 46.0 | 460 | 5.0829 |
| No log | 47.0 | 470 | 5.0811 |
| No log | 48.0 | 480 | 5.0799 |
| No log | 49.0 | 490 | 5.0793 |
| 5.1249 | 50.0 | 500 | 5.0791 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
