---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- eurlex
model-index:
- name: bert-small-eurlex
  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. -->

# bert-small-eurlex

This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the eurlex dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4260

## 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: 5e-05
- train_batch_size: 10
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 80
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9536        | 1.5   | 1000 | 2.0670          |
| 2.0331        | 3.0   | 2000 | 1.7540          |
| 1.8046        | 4.5   | 3000 | 1.5993          |
| 1.678         | 6.0   | 4000 | 1.5039          |
| 1.6074        | 7.5   | 5000 | 1.4544          |
| 1.5664        | 8.99  | 6000 | 1.4260          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1