metadata
base_model: dccuchile/albert-base-spanish
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: albert-model-mesa-ayuda
results: []
albert-model-mesa-ayuda
This model is a fine-tuned version of dccuchile/albert-base-spanish on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3099
- Accuracy: 0.9162
- F1: 0.9148
- Precision: 0.9156
- Recall: 0.9162
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: 5e-05
- train_batch_size: 28
- eval_batch_size: 28
- seed: 42
- 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 | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.8309 | 1.0 | 3419 | 0.8166 | 0.7809 | 0.7698 | 0.7813 | 0.7809 |
| 0.4419 | 2.0 | 6838 | 0.4836 | 0.8622 | 0.8571 | 0.8616 | 0.8622 |
| 0.2584 | 3.0 | 10257 | 0.3691 | 0.8913 | 0.8881 | 0.8913 | 0.8913 |
| 0.137 | 4.0 | 13676 | 0.3205 | 0.9093 | 0.9076 | 0.9078 | 0.9093 |
| 0.0609 | 5.0 | 17095 | 0.3099 | 0.9162 | 0.9148 | 0.9156 | 0.9162 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2