metadata
license: apache-2.0
base_model: studio-ousia/mluke-base
tags:
- generated_from_trainer
model-index:
- name: Legal_act101
results: []
Legal_act101
This model is a fine-tuned version of studio-ousia/mluke-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1734
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: 1e-05
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4319 | 1.0 | 443 | 0.2880 |
| 0.1956 | 2.0 | 886 | 0.2239 |
| 0.4354 | 3.0 | 1329 | 0.2060 |
| 0.5987 | 4.0 | 1772 | 0.1693 |
| 0.1867 | 5.0 | 2215 | 0.1674 |
| 0.0974 | 6.0 | 2658 | 0.1748 |
| 0.263 | 7.0 | 3101 | 0.1616 |
| 0.1949 | 8.0 | 3544 | 0.1512 |
| 0.0053 | 9.0 | 3987 | 0.1841 |
| 0.1426 | 10.0 | 4430 | 0.1734 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1