---
base_model: dccuchile/albert-base-spanish-finetuned-ner
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: albert-base-spanish-finetuned-ner-finetuned-ner
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# albert-base-spanish-finetuned-ner-finetuned-ner

This model is a fine-tuned version of [dccuchile/albert-base-spanish-finetuned-ner](https://huggingface.co/dccuchile/albert-base-spanish-finetuned-ner) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4029
- Precision: 0.0192
- Recall: 0.0152
- F1: 0.0169
- Accuracy: 0.6897

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 13   | 1.8593          | 0.0       | 0.0    | 0.0    | 0.5710   |
| No log        | 2.0   | 26   | 1.5185          | 0.0323    | 0.0152 | 0.0206 | 0.6207   |
| No log        | 3.0   | 39   | 1.4029          | 0.0192    | 0.0152 | 0.0169 | 0.6897   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cpu
- Datasets 2.19.1
- Tokenizers 0.19.1