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Sentimiento-appmovilesPG – AI Model by misaza | AlphaNeural AI
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misaza
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Sentimiento-appmovilesPG
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transformers
safetensors
roberta
text-classification
generated_from_trainer
pysentimiento/robertuito-sentiment-analysis
finetune
autotrain_compatible
endpoints_compatible
us
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Sentimiento-appmovilesPG
This model is a fine-tuned version of
pysentimiento/robertuito-sentiment-analysis
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3058
Accuracy: 0.9367
F1: 0.8364
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: 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
Accuracy
F1
No log
1.0
332
0.3105
0.9217
0.8297
0.3353
2.0
664
0.3109
0.9367
0.8362
0.3353
3.0
996
0.3058
0.9367
0.8364
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
