metadata
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: camembert-finetuned-ner
results: []
camembert-finetuned-ner
This model is a fine-tuned version of camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2215
- Precision: 0.8871
- Recall: 0.9019
- F1: 0.8944
- Accuracy: 0.9476
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: 8
- eval_batch_size: 8
- 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 | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2902 | 1.0 | 2500 | 0.2712 | 0.8608 | 0.8755 | 0.8681 | 0.9364 |
| 0.2127 | 2.0 | 5000 | 0.2221 | 0.8858 | 0.8934 | 0.8896 | 0.9437 |
| 0.1575 | 3.0 | 7500 | 0.2215 | 0.8871 | 0.9019 | 0.8944 | 0.9476 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1