| --- |
| license: mit |
| base_model: camembert-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - tweet_sentiment_multilingual |
| metrics: |
| - accuracy |
| model-index: |
| - name: camembert_model |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: tweet_sentiment_multilingual |
| type: tweet_sentiment_multilingual |
| config: french |
| split: validation |
| args: french |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.7654320987654321 |
| --- |
| |
| <!-- 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_model |
| |
| This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the French subset of the tweet_sentiment_multilingual dataset, augmented with additional curated sentiment data from various sources. . |
| 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 |
| |
