metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: >-
bert-base-multilingual-cased-finetuned-IberAuTexTification2024-7030-task2-v2
results: []
bert-base-multilingual-cased-finetuned-IberAuTexTification2024-7030-task2-v2
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7747
- F1: 0.8306
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5663 | 1.0 | 2571 | 0.6388 | 0.7595 |
| 0.376 | 2.0 | 5142 | 0.5563 | 0.8086 |
| 0.2266 | 3.0 | 7713 | 0.6516 | 0.8164 |
| 0.1338 | 4.0 | 10284 | 0.7747 | 0.8306 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.13.3