---
license: apache-2.0
base_model: data354/camembert-fr-covid-tweet-sentiment-classification
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Finetuning-model-fr-covid-tweet-sentiment-classification
  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. -->

# Finetuning-model-fr-covid-tweet-sentiment-classification

This model is a fine-tuned version of [data354/camembert-fr-covid-tweet-sentiment-classification](https://huggingface.co/data354/camembert-fr-covid-tweet-sentiment-classification) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7569
- Accuracy: 0.7633
- F1: 0.7633

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 300  | 0.9091          | 0.7483   | 0.7483 |
| 0.2597        | 2.0   | 600  | 0.6695          | 0.7675   | 0.7675 |
| 0.2597        | 3.0   | 900  | 0.7569          | 0.7633   | 0.7633 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0