---
base_model: camembert/camembert-large
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: camembert-large-frenchNER_3entities
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# camembert-large-frenchNER_3entities

This model is a fine-tuned version of [camembert/camembert-large](https://huggingface.co/camembert/camembert-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0846
- Precision: 0.9874
- Recall: 0.9874
- F1: 0.9874
- Accuracy: 0.9874

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.0299        | 1.0   | 43650  | 0.0970          | 0.9837    | 0.9837 | 0.9837 | 0.9837   |
| 0.0164        | 2.0   | 87300  | 0.0835          | 0.9864    | 0.9864 | 0.9864 | 0.9864   |
| 0.0108        | 3.0   | 130950 | 0.0846          | 0.9874    | 0.9874 | 0.9874 | 0.9874   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0