---
base_model: camembert/camembert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camembert-review-movie-test
  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-review-movie-test

This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5094
- Accuracy: 0.4722

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 72   | 2.1355          | 0.3611   |
| No log        | 2.0   | 144  | 1.9839          | 0.4444   |
| No log        | 3.0   | 216  | 1.8587          | 0.4444   |
| No log        | 4.0   | 288  | 1.7622          | 0.4444   |
| No log        | 5.0   | 360  | 1.6754          | 0.5      |
| No log        | 6.0   | 432  | 1.6065          | 0.4861   |
| 1.7682        | 7.0   | 504  | 1.5903          | 0.5139   |
| 1.7682        | 8.0   | 576  | 1.5316          | 0.5417   |
| 1.7682        | 9.0   | 648  | 1.5195          | 0.4861   |
| 1.7682        | 10.0  | 720  | 1.5094          | 0.4722   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1