---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: legal-bert-base-uncased-finetuned-RRamicus
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# legal-bert-base-uncased-finetuned-RRamicus

This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1520

## 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: 8
- eval_batch_size: 8
- seed: 928
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.021         | 1.0   | 1118  | 1.3393          |
| 1.2272        | 2.0   | 2236  | 1.2612          |
| 1.2467        | 3.0   | 3354  | 1.2403          |
| 1.2149        | 4.0   | 4472  | 1.2276          |
| 1.1855        | 5.0   | 5590  | 1.2101          |
| 1.1674        | 6.0   | 6708  | 1.2020          |
| 1.1508        | 7.0   | 7826  | 1.1893          |
| 1.1386        | 8.0   | 8944  | 1.1870          |
| 1.129         | 9.0   | 10062 | 1.1794          |
| 1.1193        | 10.0  | 11180 | 1.1759          |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.6