metadata
base_model: camembert/camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classifier-camembert
results: []
classifier-camembert
This model is a fine-tuned version of camembert/camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
- Accuracy: 1.0
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: 0.0002
- 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
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1022 | 20.0 | 100 | 0.0008 | 1.0 |
| 0.006 | 40.0 | 200 | 0.0007 | 1.0 |
| 0.0223 | 60.0 | 300 | 0.0020 | 1.0 |
| 0.0058 | 80.0 | 400 | 0.0009 | 1.0 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2