metadata
license: mit
base_model: desarrolloasesoreslocales/bert-leg-al-corpus
tags:
- generated_from_trainer
model-index:
- name: bert-leg-al-corpus
results: []
bert-leg-al-corpus
This model is a fine-tuned version of desarrolloasesoreslocales/bert-leg-al-corpus on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4067
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 | 1.4773 |
No log | 2.0 | 240 | 1.4598 |
No log | 3.0 | 360 | 1.4620 |
No log | 4.0 | 480 | 1.4332 |
1.3749 | 5.0 | 600 | 1.4415 |
1.3749 | 6.0 | 720 | 1.4439 |
1.3749 | 7.0 | 840 | 1.4384 |
1.3749 | 8.0 | 960 | 1.4056 |
1.4245 | 9.0 | 1080 | 1.4504 |
1.4245 | 10.0 | 1200 | 1.3799 |
1.4245 | 11.0 | 1320 | 1.4202 |
1.4245 | 12.0 | 1440 | 1.4374 |
1.4527 | 13.0 | 1560 | 1.4145 |
1.4527 | 14.0 | 1680 | 1.4299 |
1.4527 | 15.0 | 1800 | 1.3918 |
1.4527 | 16.0 | 1920 | 1.4007 |
1.447 | 17.0 | 2040 | 1.4476 |
1.447 | 18.0 | 2160 | 1.3933 |
1.447 | 19.0 | 2280 | 1.4311 |
1.447 | 20.0 | 2400 | 1.3902 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2