reuters-gpt2-text-gen
This model is a fine-tuned version of zuvichd/reuters-gpt2-text-gen on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8755
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 26.6156 | 1.0 | 270 | 4.0474 |
| 23.8981 | 2.0 | 540 | 3.9467 |
| 21.8779 | 3.0 | 810 | 3.8859 |
| 19.5402 | 4.0 | 1080 | 3.8707 |
| 19.0275 | 4.9824 | 1345 | 3.8755 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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