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gpt2-gpt2-TF-weight2-epoch5
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.8190
- Cls loss: 0.9275
- Lm loss: 3.9629
- Cls Accuracy: 0.8467
- Cls F1: 0.8462
- Cls Precision: 0.8470
- Cls Recall: 0.8467
- Perplexity: 52.61
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Cls loss | Lm loss | Cls Accuracy | Cls F1 | Cls Precision | Cls Recall | Perplexity |
|---|---|---|---|---|---|---|---|---|---|---|
| 5.612 | 1.0 | 3470 | 5.5564 | 0.7637 | 4.0282 | 0.7689 | 0.7591 | 0.7959 | 0.7689 | 56.16 |
| 5.2267 | 2.0 | 6940 | 5.2872 | 0.6471 | 3.9922 | 0.8444 | 0.8434 | 0.8463 | 0.8444 | 54.17 |
| 4.9082 | 3.0 | 10410 | 5.5032 | 0.7631 | 3.9761 | 0.8415 | 0.8405 | 0.8435 | 0.8415 | 53.31 |
| 4.5998 | 4.0 | 13880 | 5.6560 | 0.8448 | 3.9654 | 0.8484 | 0.8483 | 0.8483 | 0.8484 | 52.74 |
| 4.4024 | 5.0 | 17350 | 5.8190 | 0.9275 | 3.9629 | 0.8467 | 0.8462 | 0.8470 | 0.8467 | 52.61 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
