---
tags:
- generated_from_trainer
model-index:
- name: legal-french-roberta-base
  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. -->

# legal-french-roberta-base

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4293

## 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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: tpu
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1000000

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 0.8649        | 0.05  | 50000   | 0.7819          |
| 0.7852        | 0.1   | 100000  | 0.6027          |
| 0.5898        | 1.02  | 150000  | 0.5842          |
| 0.6136        | 1.07  | 200000  | 0.5343          |
| 0.6135        | 1.12  | 250000  | 0.5461          |
| 0.5804        | 2.03  | 300000  | 0.5295          |
| 0.5602        | 2.08  | 350000  | 0.5120          |
| 0.5446        | 2.13  | 400000  | 0.4904          |
| 0.5414        | 3.05  | 450000  | 0.4853          |
| 0.5765        | 3.1   | 500000  | 0.4788          |
| 0.6903        | 4.01  | 550000  | 0.4597          |
| 0.6149        | 4.06  | 600000  | 0.4556          |
| 0.5649        | 4.11  | 650000  | 0.4543          |
| 0.6449        | 5.03  | 700000  | 0.4489          |
| 0.6425        | 5.08  | 750000  | 0.4386          |
| 0.6263        | 5.13  | 800000  | 0.4344          |
| 0.6035        | 6.05  | 850000  | 0.4317          |
| 0.607         | 6.1   | 900000  | 0.4332          |
| 0.5899        | 7.01  | 950000  | 0.4321          |
| 0.5751        | 7.06  | 1000000 | 0.4293          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.8.0
- Tokenizers 0.12.1