---
license: mit
base_model: camembert-base
tags:
- generated_from_trainer
model-index:
- name: camembert_causal_language_modeling_tools
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# camembert_causal_language_modeling_tools

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: 0.8358

## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 192
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 2.8697          |
| No log        | 2.0   | 10   | 1.9203          |
| No log        | 3.0   | 15   | 1.3114          |
| No log        | 4.0   | 20   | 0.9713          |
| No log        | 5.0   | 25   | 0.8358          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1