output
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6504
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
6.029 | 1.0 | 844 | 4.4711 |
4.2368 | 2.0 | 1688 | 4.1560 |
3.8566 | 3.0 | 2532 | 3.9674 |
3.6107 | 4.0 | 3376 | 3.8103 |
3.2957 | 5.0 | 4220 | 3.7023 |
3.025 | 6.0 | 5064 | 3.6533 |
2.8818 | 7.0 | 5908 | 3.6504 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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