gpt-poem-generator
This model is a fine-tuned version of openai-community/gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2623
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4112 | 1.0 | 174 | 1.3201 |
| 1.3948 | 2.0 | 348 | 1.2892 |
| 1.3654 | 3.0 | 522 | 1.2772 |
| 1.3565 | 4.0 | 696 | 1.2714 |
| 1.3676 | 5.0 | 870 | 1.2679 |
| 1.3606 | 6.0 | 1044 | 1.2660 |
| 1.3074 | 7.0 | 1218 | 1.2642 |
| 1.3302 | 8.0 | 1392 | 1.2632 |
| 1.3381 | 9.0 | 1566 | 1.2625 |
| 1.3290 | 10.0 | 1740 | 1.2623 |
Framework versions
- PEFT 0.18.1
- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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Base model
openai-community/gpt2