my_awesome_eli5_clm-model_ep10
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7281
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9135 | 1.0 | 561 | 3.7619 |
| 3.8038 | 2.0 | 1122 | 3.7444 |
| 3.7492 | 3.0 | 1683 | 3.7340 |
| 3.71 | 4.0 | 2244 | 3.7303 |
| 3.682 | 5.0 | 2805 | 3.7286 |
| 3.6517 | 6.0 | 3366 | 3.7277 |
| 3.6372 | 7.0 | 3927 | 3.7284 |
| 3.6132 | 8.0 | 4488 | 3.7273 |
| 3.5905 | 9.0 | 5049 | 3.7274 |
| 3.5857 | 10.0 | 5610 | 3.7281 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.7.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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