metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: camembert_base_finetunned_one_thema_balanced_7_epochs
results: []
camembert_base_finetunned_one_thema_balanced_7_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: 1.6875
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 116 | 2.2337 |
| No log | 2.0 | 232 | 1.9735 |
| No log | 3.0 | 348 | 1.7970 |
| No log | 4.0 | 464 | 1.7619 |
| 1.8895 | 5.0 | 580 | 1.7071 |
| 1.8895 | 6.0 | 696 | 1.6754 |
| 1.8895 | 7.0 | 812 | 1.6875 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3