---
library_name: transformers
license: mit
base_model: camembert-base
tags:
- hyperparameter-search
- best-trial
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hpo2_to_push
  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. -->

# hpo2_to_push

This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0481
- Accuracy: 0.9895

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0852        | 1.0   | 1797 | 0.0425          | 0.9871   |
| 0.03          | 2.0   | 3594 | 0.0481          | 0.9887   |
| 0.0023        | 3.0   | 5391 | 0.0648          | 0.9881   |
| 0.0118        | 4.0   | 7188 | 0.0481          | 0.9895   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1