library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| transformers | mit | gpt2 |
|
|
gpt2-poems-finetuned-v1
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8988
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.2281 | 0.3193 | 500 | 4.0769 |
| 4.1077 | 0.6385 | 1000 | 4.0222 |
| 4.0667 | 0.9578 | 1500 | 3.9898 |
| 4.0905 | 1.2765 | 2000 | 3.9738 |
| 4.008 | 1.5957 | 2500 | 3.9561 |
| 4.0071 | 1.9150 | 3000 | 3.9448 |
| 3.9696 | 2.2337 | 3500 | 3.9376 |
| 3.9984 | 2.5530 | 4000 | 3.9289 |
| 3.9279 | 2.8722 | 4500 | 3.9212 |
| 3.9569 | 3.1909 | 5000 | 3.9181 |
| 3.9598 | 3.5102 | 5500 | 3.9154 |
| 3.9403 | 3.8294 | 6000 | 3.9126 |
| 3.908 | 4.1481 | 6500 | 3.9117 |
| 3.9344 | 4.4674 | 7000 | 3.9109 |
| 3.9645 | 4.7867 | 7500 | 3.9105 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.1+cu126
- Datasets 4.5.0
- Tokenizers 0.22.2