camembert_base_finetunned_one_thema_balanced_8_epochs
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7441
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 116 | 2.2815 |
| No log | 2.0 | 232 | 2.0439 |
| No log | 3.0 | 348 | 1.8168 |
| No log | 4.0 | 464 | 1.7957 |
| 1.9473 | 5.0 | 580 | 1.7536 |
| 1.9473 | 6.0 | 696 | 1.6857 |
| 1.9473 | 7.0 | 812 | 1.7473 |
| 1.9473 | 8.0 | 928 | 1.7441 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
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