---
base_model: dccuchile/albert-base-spanish
tags:
- generated_from_trainer
model-index:
- name: albert-base-spanish-2023-11-13-19-24
  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-base-spanish-2023-11-13-19-24

This model is a fine-tuned version of [dccuchile/albert-base-spanish](https://huggingface.co/dccuchile/albert-base-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4306

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9328        | 0.59  | 500  | 1.9145          |
| 1.863         | 1.19  | 1000 | 1.7882          |
| 1.7407        | 1.78  | 1500 | 1.7241          |
| 1.648         | 2.38  | 2000 | 1.6651          |
| 1.606         | 2.97  | 2500 | 1.6102          |
| 1.5833        | 3.56  | 3000 | 1.5912          |
| 1.5663        | 4.16  | 3500 | 1.5642          |
| 1.5104        | 4.75  | 4000 | 1.5390          |
| 1.5252        | 5.34  | 4500 | 1.5197          |
| 1.4676        | 5.94  | 5000 | 1.4950          |
| 1.4502        | 6.53  | 5500 | 1.4766          |
| 1.4336        | 7.13  | 6000 | 1.4694          |
| 1.4355        | 7.72  | 6500 | 1.4527          |
| 1.457         | 8.31  | 7000 | 1.4403          |
| 1.4219        | 8.91  | 7500 | 1.4380          |
| 1.4503        | 9.5   | 8000 | 1.4313          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1