posneg

This model is a fine-tuned version of bert-base-multilingual-uncased on the Positivo Negativo dataset. It achieves the following results on the evaluation set:

• Loss: 0.3366
• Accuracy: 0.8692

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	61	0.3870	0.8692
No log	2.0	122	0.3366	0.8692
No log	3.0	183	0.4307	0.8692
No log	4.0	244	0.5684	0.8598
No log	5.0	305	0.4044	0.9065
No log	6.0	366	0.5123	0.9065
No log	7.0	427	0.4560	0.9065
No log	8.0	488	0.5003	0.8972
0.1877	9.0	549	0.4358	0.9252
0.1877	10.0	610	0.4237	0.9252

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2