| | --- |
| | base_model: dccuchile/albert-base-spanish |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: albert-model-mesa-ayuda |
| | 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. --> |
| |
|
| | # albert-model-mesa-ayuda |
| |
|
| | This model is a fine-tuned version of [dccuchile/albert-base-spanish](https://huggingface.co/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 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.39.3 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
