---
language:
- fr

tags:
- classification
license: apache-2.0
datasets:
- the model was trained on a small corpus of 140 sentences for training, 100 for validation and 40 sentences for the test. 
metrics:
- accuracy
- f1-score
---

# camembert-fr-covid-tweet-classification
This model is a fine-tune checkpoint of [Yanzhu/bertweetfr-base](https://huggingface.co/Yanzhu/bertweetfr-base), fine-tuned on SST-2.
This model reaches an accuracy of 66.0 on the dev ~set (for comparison, Bert bert-base-uncased version reaches an accuracy of 92.7)~.
# Fine-tuning hyper-parameters
- learning_rate = 1e-5
- batch_size = 32
- warmup = 600
- max_seq_length = 128
- num_train_epochs = 3.0