---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- lex_glue
model-index:
- name: bert-base-uncased-finetuned-lexglue
  results: []
---

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# bert-base-uncased-finetuned-lexglue

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the lex_glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0125

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

lex_glue

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7154        | 1.0   | 1250 | 1.1155          |
| 0.9658        | 2.0   | 2500 | 1.0348          |
| 1.0321        | 3.0   | 3750 | 1.0125          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.12.1