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distilbert-finetuned-lr1e-06-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: 3.1397
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-06
- 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 | 5.6380 |
| No log | 2.0 | 20 | 5.2148 |
| No log | 3.0 | 30 | 4.9729 |
| No log | 4.0 | 40 | 4.8036 |
| No log | 5.0 | 50 | 4.6566 |
| No log | 6.0 | 60 | 4.5248 |
| No log | 7.0 | 70 | 4.4054 |
| No log | 8.0 | 80 | 4.2868 |
| No log | 9.0 | 90 | 4.1864 |
| No log | 10.0 | 100 | 4.0935 |
| No log | 11.0 | 110 | 4.0126 |
| No log | 12.0 | 120 | 3.9390 |
| No log | 13.0 | 130 | 3.8698 |
| No log | 14.0 | 140 | 3.8036 |
| No log | 15.0 | 150 | 3.7400 |
| No log | 16.0 | 160 | 3.6834 |
| No log | 17.0 | 170 | 3.6343 |
| No log | 18.0 | 180 | 3.5871 |
| No log | 19.0 | 190 | 3.5456 |
| No log | 20.0 | 200 | 3.5103 |
| No log | 21.0 | 210 | 3.4753 |
| No log | 22.0 | 220 | 3.4419 |
| No log | 23.0 | 230 | 3.4087 |
| No log | 24.0 | 240 | 3.3805 |
| No log | 25.0 | 250 | 3.3562 |
| No log | 26.0 | 260 | 3.3345 |
| No log | 27.0 | 270 | 3.3151 |
| No log | 28.0 | 280 | 3.2957 |
| No log | 29.0 | 290 | 3.2772 |
| No log | 30.0 | 300 | 3.2620 |
| No log | 31.0 | 310 | 3.2497 |
| No log | 32.0 | 320 | 3.2358 |
| No log | 33.0 | 330 | 3.2254 |
| No log | 34.0 | 340 | 3.2158 |
| No log | 35.0 | 350 | 3.2057 |
| No log | 36.0 | 360 | 3.1972 |
| No log | 37.0 | 370 | 3.1877 |
| No log | 38.0 | 380 | 3.1800 |
| No log | 39.0 | 390 | 3.1722 |
| No log | 40.0 | 400 | 3.1664 |
| No log | 41.0 | 410 | 3.1630 |
| No log | 42.0 | 420 | 3.1585 |
| No log | 43.0 | 430 | 3.1538 |
| No log | 44.0 | 440 | 3.1488 |
| No log | 45.0 | 450 | 3.1454 |
| No log | 46.0 | 460 | 3.1422 |
| No log | 47.0 | 470 | 3.1414 |
| No log | 48.0 | 480 | 3.1407 |
| No log | 49.0 | 490 | 3.1399 |
| 2.8494 | 50.0 | 500 | 3.1397 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
