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distilbert-finetuned-lr1e-07-epochs25
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: 5.4974
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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 10 | 6.3781 |
| No log | 2.0 | 20 | 6.2766 |
| No log | 3.0 | 30 | 6.1849 |
| No log | 4.0 | 40 | 6.1020 |
| No log | 5.0 | 50 | 6.0250 |
| No log | 6.0 | 60 | 5.9616 |
| No log | 7.0 | 70 | 5.9008 |
| No log | 8.0 | 80 | 5.8449 |
| No log | 9.0 | 90 | 5.7978 |
| No log | 10.0 | 100 | 5.7540 |
| No log | 11.0 | 110 | 5.7150 |
| No log | 12.0 | 120 | 5.6789 |
| No log | 13.0 | 130 | 5.6482 |
| No log | 14.0 | 140 | 5.6217 |
| No log | 15.0 | 150 | 5.5974 |
| No log | 16.0 | 160 | 5.5775 |
| No log | 17.0 | 170 | 5.5601 |
| No log | 18.0 | 180 | 5.5449 |
| No log | 19.0 | 190 | 5.5323 |
| No log | 20.0 | 200 | 5.5215 |
| No log | 21.0 | 210 | 5.5128 |
| No log | 22.0 | 220 | 5.5062 |
| No log | 23.0 | 230 | 5.5013 |
| No log | 24.0 | 240 | 5.4983 |
| No log | 25.0 | 250 | 5.4974 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
