robertuito-finetuned

This model is a fine-tuned version of pysentimiento/robertuito-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0363
• Accuracy: 1.0
• Precision: 1.0
• Recall: 1.0
• F1: 1.0

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.24	1.0	9	0.0460	1.0	1.0	1.0	1.0
0.0378	2.0	18	0.0134	1.0	1.0	1.0	1.0
0.0137	3.0	27	0.0092	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.49.0
• Pytorch 2.2.2
• Datasets 3.3.2
• Tokenizers 0.21.0