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# camembert_model

This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the tweet_sentiment_multilingual dataset (French portion of it) .
It achieves the following results on the evaluation set:
- Loss: 0.7877
- Accuracy: 0.7654

## Model description

A sentiment Classifier for the french language 
classifies french text to positive, negative or neutral.
## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 115  | 0.8510          | 0.6265   |
| No log        | 2.0   | 230  | 0.7627          | 0.7130   |
| No log        | 3.0   | 345  | 0.6966          | 0.7160   |
| No log        | 4.0   | 460  | 0.6862          | 0.7438   |
| 0.7126        | 5.0   | 575  | 0.6637          | 0.75     |
| 0.7126        | 6.0   | 690  | 0.7121          | 0.7654   |
| 0.7126        | 7.0   | 805  | 0.7641          | 0.7438   |
| 0.7126        | 8.0   | 920  | 0.7662          | 0.7654   |
| 0.2932        | 9.0   | 1035 | 0.7765          | 0.7747   |
| 0.2932        | 10.0  | 1150 | 0.7877          | 0.7654   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tweet_sentiment_multilingual"], "metrics": ["accuracy"], "base_model": "camembert-base", "model-index": [{"name": "camembert_model", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "tweet_sentiment_multilingual", "type": "tweet_sentiment_multilingual", "config": "french", "split": "validation", "args": "french"}, "metrics": [{"type": "accuracy", "value": 0.7654320987654321, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors camembert text-classification generated_from_trainer dataset:tweet_sentiment_multilingual base_model:camembert-base license:mit model-index autotrain_compatible endpoints_compatible region:us