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bertin-roberta-base-spanish-finetuned-tass-v2 – AI Model by JDagoberto | AlphaNeural AI
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JDagoberto
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bertin-roberta-base-spanish-finetuned-tass-v2
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pytorch
tensorboard
roberta
generated_from_trainer
cc-by-4.0
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bertin-roberta-base-spanish-finetuned-tass-v2
This model is a fine-tuned version of
bertin-project/bertin-roberta-base-spanish
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2433
Accuracy: 0.6607
Precision: 0.6756
Recall: 0.6607
F1: 0.6649
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: 12
eval_batch_size: 12
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
Precision
Recall
F1
0.7637
1.0
401
0.8079
0.6525
0.6550
0.6525
0.6517
0.5027
2.0
802
0.8769
0.6574
0.6723
0.6574
0.6617
0.2845
3.0
1203
1.2433
0.6607
0.6756
0.6607
0.6649
Framework versions
Transformers 4.28.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.13.3
