1.6 KiB
1.6 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| transformers | mit | gpt2 |
|
|
math-gpt2-simple
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7100
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: 8
- seed: 42
- 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 |
|---|---|---|---|
| 2.272 | 0.7937 | 50 | 2.0902 |
| 2.1191 | 1.5873 | 100 | 1.8907 |
| 1.9521 | 2.3810 | 150 | 1.7958 |
| 1.9319 | 3.1746 | 200 | 1.7425 |
| 1.8994 | 3.9683 | 250 | 1.7167 |
| 1.8937 | 4.7619 | 300 | 1.7100 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0