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---
license: mit
tags:
- generated_from_trainer
model-index:
- name: camembert_base_finetunned_one_thema_balanced_7_epochs
results: []
---
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# camembert_base_finetunned_one_thema_balanced_7_epochs
This model is a fine-tuned version of [camembert-base](https://huggingface.co/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