HPY_gpt2_v3
This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3920
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 313 | 1.4340 |
| 1.3544 | 2.0 | 626 | 1.4093 |
| 1.3544 | 3.0 | 939 | 1.3959 |
| 1.2739 | 4.0 | 1252 | 1.3920 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
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