---
license: apache-2.0
base_model: studio-ousia/luke-base
tags:
- generated_from_trainer
model-index:
- name: legal-luke-base-ner
  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-luke-base-ner

This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0153
- F1-type-match: 0.9297
- F1-partial: 0.9197
- F1-strict: 0.8794
- F1-exact: 0.8891

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-type-match | F1-partial | F1-strict | F1-exact |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|:----------:|:---------:|:--------:|
| 0.021         | 1.0   | 1375 | 0.0219          | 0.8297        | 0.8176     | 0.7238    | 0.7525   |
| 0.0132        | 2.0   | 2750 | 0.0156          | 0.8841        | 0.8722     | 0.7943    | 0.8166   |
| 0.0087        | 3.0   | 4125 | 0.0155          | 0.8901        | 0.8796     | 0.8271    | 0.8374   |
| 0.0052        | 4.0   | 5500 | 0.0153          | 0.9190        | 0.9100     | 0.8633    | 0.8750   |
| 0.0035        | 5.0   | 6875 | 0.0153          | 0.9297        | 0.9197     | 0.8794    | 0.8891   |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.17.1
- Tokenizers 0.15.0