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

# hscore-balanced

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: 0.2353
- Accuracy: 0.9274

## 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: 8.497821083760116e-06
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1801        | 1.0   | 1643 | 0.2273          | 0.9200   |
| 0.3525        | 2.0   | 3286 | 0.2126          | 0.9266   |
| 0.0821        | 3.0   | 4929 | 0.2383          | 0.9291   |
| 0.4058        | 4.0   | 6572 | 0.2149          | 0.9283   |
| 0.2079        | 5.0   | 8215 | 0.2353          | 0.9274   |


### Framework versions

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