---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
base_model: nlptown/bert-base-multilingual-uncased-sentiment
model-index:
- name: bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos

This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9409
- F1: 0.5890

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.9601        | 1.0   | 383  | 0.9355          | 0.5774 |
| 0.8103        | 2.0   | 766  | 0.9409          | 0.5890 |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.12.1+cu116
- Datasets 2.13.1
- Tokenizers 0.12.1