metadata
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camembert_classification_tools_fr
results: []
camembert_classification_tools_fr
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1971
- Accuracy: 0.8
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: 0.0001
- train_batch_size: 24
- eval_batch_size: 192
- 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 | 5 | 1.9901 | 0.45 |
| No log | 2.0 | 10 | 1.8450 | 0.525 |
| No log | 3.0 | 15 | 1.6934 | 0.625 |
| No log | 4.0 | 20 | 1.5597 | 0.65 |
| No log | 5.0 | 25 | 1.4364 | 0.775 |
| No log | 6.0 | 30 | 1.3490 | 0.825 |
| No log | 7.0 | 35 | 1.2849 | 0.825 |
| No log | 8.0 | 40 | 1.2342 | 0.85 |
| No log | 9.0 | 45 | 1.2078 | 0.8 |
| No log | 10.0 | 50 | 1.1971 | 0.8 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1