---
tags:
- generated_from_trainer
metrics:
- precision
- f1
- recall
- accuracy
model-index:
- name: fine-tuning-albert-tiny-041123
  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. -->

# fine-tuning-albert-tiny-041123

This model is a fine-tuned version of [dccuchile/albert-tiny-spanish](https://huggingface.co/dccuchile/albert-tiny-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2027
- Precision: 0.1111
- F1: 0.1667
- Recall: 0.3333
- Accuracy: 0.3333

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | F1     | Recall | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 1.034         | 1.0   | 1304  | 1.2027          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0266        | 2.0   | 2608  | 1.1847          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0248        | 3.0   | 3912  | 1.1969          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0317        | 4.0   | 5216  | 1.2050          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0285        | 5.0   | 6520  | 1.1994          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0281        | 6.0   | 7824  | 1.1928          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0216        | 7.0   | 9128  | 1.2110          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
| 1.0268        | 8.0   | 10432 | 1.2035          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.3