metadata
base_model: pysentimiento/robertuito-base-uncased
tags:
- generated_from_trainer
model-index:
- name: robertuito_covid_ft
results: []
robertuito_covid_ft
This model is a fine-tuned version of pysentimiento/robertuito-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6017
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.7809 | 1.0 | 5882 | 0.7160 |
| 0.6874 | 2.0 | 11764 | 0.6326 |
| 0.6531 | 3.0 | 17646 | 0.6028 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1