library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| transformers | apache-2.0 | distilgpt2 |
|
|
distilgpt2-instruct
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1097
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- 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: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6082 | 0.0757 | 200 | 3.4527 |
| 3.4472 | 0.1514 | 400 | 3.3252 |
| 3.3842 | 0.2271 | 600 | 3.2697 |
| 3.3915 | 0.3027 | 800 | 3.2255 |
| 3.3209 | 0.3784 | 1000 | 3.1980 |
| 3.3036 | 0.4541 | 1200 | 3.1748 |
| 3.2422 | 0.5298 | 1400 | 3.1566 |
| 3.2840 | 0.6055 | 1600 | 3.1415 |
| 3.2755 | 0.6812 | 1800 | 3.1303 |
| 3.2236 | 0.7569 | 2000 | 3.1217 |
| 3.1934 | 0.8325 | 2200 | 3.1143 |
| 3.2567 | 0.9082 | 2400 | 3.1107 |
| 3.2337 | 0.9839 | 2600 | 3.1097 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2