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BERT-sentiment-analysis-portuguese-with-undersampling-v2 – AI Model by lipaoMai | AlphaNeural AI
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BERT-sentiment-analysis-portuguese-with-undersampling-v2
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
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BERT-sentiment-analysis-portuguese-with-undersampling-v2
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3082
Accuracy: 0.8735
F1: 0.8733
Precision: 0.8737
Recall: 0.8735
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
lr_scheduler_warmup_ratio: 0.9
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.4125
1.0
1508
0.4269
0.8292
0.8290
0.8339
0.8292
0.3285
2.0
3016
0.3082
0.8735
0.8733
0.8737
0.8735
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
