metadata
license: cc
tags:
- generated_from_trainer
base_model: joelniklaus/legal-xlm-roberta-base
model-index:
- name: bert-leg-al-corpus
results: []
bert-leg-al-corpus
This model is a fine-tuned version of joelniklaus/legal-xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8436
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-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9469 | 0.4219 | 100 | 1.8536 |
| 1.9311 | 0.8439 | 200 | 1.8405 |
| 1.9608 | 1.2658 | 300 | 1.8464 |
| 1.9217 | 1.6878 | 400 | 1.8155 |
| 1.9213 | 2.1097 | 500 | 1.8155 |
| 1.9213 | 2.5316 | 600 | 1.8239 |
| 1.9552 | 2.9536 | 700 | 1.8140 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1