bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.9409
• F1: 0.5890

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.9601	1.0	383	0.9355	0.5774
0.8103	2.0	766	0.9409	0.5890

Framework versions

• Transformers 4.30.2
• Pytorch 1.12.1+cu116
• Datasets 2.13.1
• Tokenizers 0.12.1