otuformer
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6862
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2647 | 1.0 | 38206 | 4.2024 |
| 4.0548 | 2.0 | 76412 | 3.9901 |
| 3.9369 | 3.0 | 114618 | 3.8803 |
| 3.8413 | 4.0 | 152824 | 3.8073 |
| 3.7547 | 5.0 | 191030 | 3.7608 |
| 3.6945 | 6.0 | 229236 | 3.7244 |
| 3.6355 | 7.0 | 267442 | 3.6988 |
| 3.6016 | 8.0 | 305648 | 3.6862 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
openai-community/gpt2