metadata
base_model: camembert/camembert-base-wikipedia-4gb
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camembert_classif_rte
results: []
camembert_classif_rte
This model is a fine-tuned version of camembert/camembert-base-wikipedia-4gb on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2278
- Accuracy: 0.9653
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.163 | 1.0 | 16000 | 0.1371 | 0.9597 |
| 0.1374 | 2.0 | 32000 | 0.1505 | 0.9633 |
| 0.0877 | 3.0 | 48000 | 0.1622 | 0.9642 |
| 0.0491 | 4.0 | 64000 | 0.1940 | 0.9644 |
| 0.0143 | 5.0 | 80000 | 0.2278 | 0.9653 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2