---
tags:
- generated_from_trainer
model-index:
- name: legal-xlm-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-xlm-roberta-base

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5484

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 1.2285        | 0.05  | 50000   | 0.9298          |
| 1.0417        | 0.1   | 100000  | 0.7723          |
| 0.9525        | 0.15  | 150000  | 0.7258          |
| 0.9668        | 0.2   | 200000  | 0.6884          |
| 0.8949        | 0.25  | 250000  | 0.6714          |
| 0.921         | 0.3   | 300000  | 0.6617          |
| 0.8324        | 0.35  | 350000  | 0.6423          |
| 0.8406        | 0.4   | 400000  | 0.6259          |
| 0.8136        | 0.45  | 450000  | 0.6147          |
| 0.8247        | 0.5   | 500000  | 0.6095          |
| 0.8649        | 0.55  | 550000  | 0.5985          |
| 0.8119        | 0.6   | 600000  | 0.5973          |
| 0.8422        | 0.65  | 650000  | 0.5813          |
| 0.8006        | 0.7   | 700000  | 0.5701          |
| 0.8072        | 0.75  | 750000  | 0.5662          |
| 0.8154        | 0.8   | 800000  | 0.5514          |
| 0.7794        | 0.85  | 850000  | 0.5562          |
| 0.7924        | 0.9   | 900000  | 0.5558          |
| 0.8207        | 0.95  | 950000  | 0.5587          |
| 0.8279        | 1.0   | 1000000 | 0.5484          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.8.0
- Tokenizers 0.12.0