---
license: apache-2.0
base_model: studio-ousia/luke-base
tags:
- generated_from_trainer
datasets:
- conll2003
model-index:
- name: luke-base_finetuned_conll2003
  results: []
---

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# luke-base_finetuned_conll2003

This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/studio-ousia/luke-base) on the conll2003 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0959
- F1-type-match: 0.7530
- F1-partial: 0.7885
- F1-strict: 0.7477
- F1-exact: 0.7828

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-type-match | F1-partial | F1-strict | F1-exact |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|:----------:|:---------:|:--------:|
| No log        | 1.0   | 219  | 0.0796          | 0.3002        | 0.3178     | 0.2969    | 0.3146   |
| 0.1554        | 2.0   | 439  | 0.0724          | 0.3889        | 0.4078     | 0.3859    | 0.4048   |
| 0.0256        | 3.0   | 658  | 0.0832          | 0.5340        | 0.5610     | 0.5300    | 0.5568   |
| 0.0124        | 4.0   | 878  | 0.0918          | 0.6875        | 0.7207     | 0.6826    | 0.7156   |
| 0.0062        | 4.99  | 1095 | 0.0959          | 0.7530        | 0.7885     | 0.7477    | 0.7828   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1