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roberta-base-bne-platzi-project-nlp – AI Model by victorwkey | AlphaNeural AI
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victorwkey
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roberta-base-bne-platzi-project-nlp
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
BSC-LT/roberta-base-bne
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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roberta-base-bne-platzi-project-nlp
This model is a fine-tuned version of
BSC-TeMU/roberta-base-bne
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4637
Accuracy: 0.8488
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3635
1.0
2500
0.3921
0.8476
0.2632
2.0
5000
0.4637
0.8488
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.0
