nlp_robertuito_uncased

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: 0.8125

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
1.01	1.0	6727	0.9409
0.9003	2.0	13454	0.8442
0.8679	3.0	20181	0.8115

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1