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---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: camembert-base-finetuned-mixte-symbole-dd
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# camembert-base-finetuned-mixte-symbole-dd
This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3576
- Precision: 0.8788
- Recall: 0.8986
- F1: 0.8886
- Accuracy: 0.9230
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.1977 | 1.0 | 4322 | 0.2256 | 0.8388 | 0.8980 | 0.8674 | 0.9240 |
| 0.1498 | 2.0 | 8644 | 0.2765 | 0.8666 | 0.8916 | 0.8789 | 0.9235 |
| 0.1085 | 3.0 | 12966 | 0.2945 | 0.8666 | 0.9028 | 0.8844 | 0.9211 |
| 0.0775 | 4.0 | 17288 | 0.3181 | 0.8735 | 0.9015 | 0.8873 | 0.9226 |
| 0.0605 | 5.0 | 21610 | 0.3576 | 0.8788 | 0.8986 | 0.8886 | 0.9230 |
### Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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