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---
base_model: pysentimiento/roberta-es-sentiment
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: mi_modelo_test_1
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. -->
# mi_modelo_test_1
This model is a fine-tuned version of [pysentimiento/roberta-es-sentiment](https://huggingface.co/pysentimiento/roberta-es-sentiment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6274
- F1: 0.7635
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6231 | 1.0 | 26 | 0.6274 | 0.7635 |
| 0.1 | 2.0 | 52 | 0.8851 | 0.7358 |
| 0.0076 | 3.0 | 78 | 1.0922 | 0.7221 |
| 0.0041 | 4.0 | 104 | 1.1844 | 0.7556 |
| 0.0034 | 5.0 | 130 | 1.1963 | 0.7505 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
|