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mi_modelo_test_1 – AI Model by JorgePVNV | AlphaNeural AI
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JorgePVNV
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mi_modelo_test_1
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
pysentimiento/roberta-es-sentiment
finetune
autotrain_compatible
endpoints_compatible
us
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mi_modelo_test_1
This model is a fine-tuned version of
pysentimiento/roberta-es-sentiment
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6274
F1: 0.7635
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6231
1.0
26
0.6274
0.7635
0.1
2.0
52
0.8851
0.7358
0.0076
3.0
78
1.0922
0.7221
0.0041
4.0
104
1.1844
0.7556
0.0034
5.0
130
1.1963
0.7505
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
