jonathanpod_gpt2_model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0566
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8726 | 0.3442 | 100 | 2.1133 |
| 2.0514 | 0.6885 | 200 | 2.0859 |
| 2.0411 | 1.0327 | 300 | 2.0669 |
| 1.6083 | 1.3769 | 400 | 2.0624 |
| 1.5891 | 1.7212 | 500 | 2.0564 |
| 1.5341 | 2.0654 | 600 | 2.0549 |
| 1.4231 | 2.4096 | 700 | 2.0606 |
| 1.7711 | 2.7539 | 800 | 2.0566 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 5