gpt2-large-bne-milunanoches
This model is a fine-tuned version of PlanTL-GOB-ES/gpt2-large-bne on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9118
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: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- 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 | 0.97 | 25 | 3.2210 |
| No log | 1.97 | 50 | 2.9247 |
| No log | 2.97 | 75 | 2.8850 |
| No log | 3.97 | 100 | 2.9118 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1