|
--- |
|
license: mit |
|
base_model: Narrativa/legal-longformer-base-4096-spanish |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: bert-leg-al-corpus |
|
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-leg-al-corpus |
|
|
|
This model is a fine-tuned version of [Narrativa/legal-longformer-base-4096-spanish](https://huggingface.co/Narrativa/legal-longformer-base-4096-spanish) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.2219 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 120 | 2.7135 | |
|
| No log | 2.0 | 240 | 2.5848 | |
|
| No log | 3.0 | 360 | 2.5374 | |
|
| No log | 4.0 | 480 | 2.4788 | |
|
| 2.7765 | 5.0 | 600 | 2.4294 | |
|
| 2.7765 | 6.0 | 720 | 2.3854 | |
|
| 2.7765 | 7.0 | 840 | 2.3608 | |
|
| 2.7765 | 8.0 | 960 | 2.3505 | |
|
| 2.4729 | 9.0 | 1080 | 2.3189 | |
|
| 2.4729 | 10.0 | 1200 | 2.3048 | |
|
| 2.4729 | 11.0 | 1320 | 2.2949 | |
|
| 2.4729 | 12.0 | 1440 | 2.2657 | |
|
| 2.3559 | 13.0 | 1560 | 2.2393 | |
|
| 2.3559 | 14.0 | 1680 | 2.2309 | |
|
| 2.3559 | 15.0 | 1800 | 2.2160 | |
|
| 2.3559 | 16.0 | 1920 | 2.2143 | |
|
| 2.2843 | 17.0 | 2040 | 2.2282 | |
|
| 2.2843 | 18.0 | 2160 | 2.2146 | |
|
| 2.2843 | 19.0 | 2280 | 2.1929 | |
|
| 2.2843 | 20.0 | 2400 | 2.1950 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
