roberta-base-bne-platzi-project-nlp-con-transformers

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roberta-base-bne-platzi-project-nlp-con-transformers

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3476
• eval_accuracy: 0.8503
• eval_runtime: 4851.6968
• eval_samples_per_second: 8.657
• eval_steps_per_second: 1.082
• epoch: 1.0
• step: 2500

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 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

Framework versions

• Transformers 4.49.0
• Pytorch 2.5.1
• Datasets 3.3.2
• Tokenizers 0.21.0