---
library_name: transformers
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_awesome_wnut_model
  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. -->

# my_awesome_wnut_model

This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0033
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9990

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:---:|:--------:|
| 0.0136        | 1.0   | 1559  | 0.0085          | 0.0       | 0.0    | 0.0 | 0.9983   |
| 0.0087        | 2.0   | 3118  | 0.0056          | 0.0       | 0.0    | 0.0 | 0.9986   |
| 0.0061        | 3.0   | 4677  | 0.0046          | 0.0       | 0.0    | 0.0 | 0.9987   |
| 0.0061        | 4.0   | 6236  | 0.0040          | 0.0       | 0.0    | 0.0 | 0.9988   |
| 0.005         | 5.0   | 7795  | 0.0038          | 0.0       | 0.0    | 0.0 | 0.9988   |
| 0.0049        | 6.0   | 9354  | 0.0035          | 0.0       | 0.0    | 0.0 | 0.9989   |
| 0.0044        | 7.0   | 10913 | 0.0034          | 0.0       | 0.0    | 0.0 | 0.9989   |
| 0.004         | 8.0   | 12472 | 0.0036          | 0.0       | 0.0    | 0.0 | 0.9988   |
| 0.004         | 9.0   | 14031 | 0.0034          | 0.0       | 0.0    | 0.0 | 0.9990   |
| 0.0044        | 10.0  | 15590 | 0.0033          | 0.0       | 0.0    | 0.0 | 0.9990   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3