lab7-shakespeare-generator2
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3568
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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_steps: 50
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5278 | 0.2747 | 100 | 3.4131 |
| 3.3964 | 0.5495 | 200 | 3.3824 |
| 3.2556 | 0.8242 | 300 | 3.3337 |
| 3.1101 | 1.0989 | 400 | 3.3544 |
| 2.8878 | 1.3736 | 500 | 3.3615 |
| 2.8615 | 1.6484 | 600 | 3.3581 |
| 2.8553 | 1.9231 | 700 | 3.3570 |
| 2.8553 | 2.0 | 728 | 3.3568 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.12.1
- Datasets 5.0.0
- Tokenizers 0.22.2