q1
This model is a fine-tuned version of distilbert/distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0078
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 0.0221 |
| No log | 2.0 | 2 | 0.0199 |
| No log | 3.0 | 3 | 0.0181 |
| No log | 4.0 | 4 | 0.0166 |
| No log | 5.0 | 5 | 0.0153 |
| No log | 6.0 | 6 | 0.0140 |
| No log | 7.0 | 7 | 0.0130 |
| No log | 8.0 | 8 | 0.0120 |
| No log | 9.0 | 9 | 0.0112 |
| No log | 10.0 | 10 | 0.0105 |
| No log | 11.0 | 11 | 0.0099 |
| No log | 12.0 | 12 | 0.0095 |
| No log | 13.0 | 13 | 0.0091 |
| No log | 14.0 | 14 | 0.0087 |
| No log | 15.0 | 15 | 0.0084 |
| No log | 16.0 | 16 | 0.0082 |
| No log | 17.0 | 17 | 0.0080 |
| No log | 18.0 | 18 | 0.0079 |
| No log | 19.0 | 19 | 0.0078 |
| No log | 20.0 | 20 | 0.0078 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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