---
library_name: transformers
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hscorer-full
  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. -->

# hscorer-full

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: 0.1307
- Accuracy: 0.9695

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1859        | 1.0   | 1797  | 0.1307          | 0.9631   |
| 0.1457        | 2.0   | 3594  | 0.2505          | 0.9432   |
| 0.125         | 3.0   | 5391  | 0.1224          | 0.9713   |
| 0.2291        | 4.0   | 7188  | 0.1530          | 0.9402   |
| 0.1174        | 5.0   | 8985  | 0.1462          | 0.9463   |
| 0.0957        | 6.0   | 10782 | 0.2007          | 0.9549   |
| 0.1581        | 7.0   | 12579 | 0.2563          | 0.9290   |
| 0.1386        | 8.0   | 14376 | 0.2012          | 0.9528   |
| 0.1353        | 9.0   | 16173 | 0.1420          | 0.9664   |
| 0.0665        | 10.0  | 17970 | 0.1307          | 0.9695   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1