metadata
license: apache-2.0
base_model: studio-ousia/luke-base
tags:
- generated_from_trainer
datasets:
- ontonotes5
model-index:
- name: luke-base_on5
results: []
luke-base_on5
This model is a fine-tuned version of studio-ousia/luke-base on the ontonotes5 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0732
- F1-type-match: 0.4835
- F1-partial: 0.4930
- F1-strict: 0.4695
- F1-exact: 0.4832
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 |
|---|---|---|---|---|---|---|---|
| 0.0756 | 1.0 | 936 | 0.0644 | 0.3975 | 0.4054 | 0.3800 | 0.3941 |
| 0.0508 | 2.0 | 1873 | 0.0589 | 0.6196 | 0.6313 | 0.5967 | 0.6158 |
| 0.0347 | 3.0 | 2809 | 0.0664 | 0.4686 | 0.4772 | 0.4530 | 0.4665 |
| 0.0243 | 4.0 | 3746 | 0.0677 | 0.3951 | 0.4033 | 0.3830 | 0.3948 |
| 0.0166 | 5.0 | 4680 | 0.0732 | 0.4835 | 0.4930 | 0.4695 | 0.4832 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1