vesta-notes-md-model-001
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6791
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4889 | 1.0 | 1909 | 2.0984 |
| 2.1153 | 2.0 | 3818 | 1.8813 |
| 1.9715 | 3.0 | 5727 | 1.7713 |
| 1.8938 | 4.0 | 7636 | 1.7167 |
| 1.8452 | 5.0 | 9545 | 1.6892 |
| 1.8245 | 6.0 | 11454 | 1.6791 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for ytonthat/vesta-notes-md-model-001
Base model
openai-community/gpt2