roberta_Pfinal_4CLASES_2e-5_16_2

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:

• Loss: 0.3321
• Accuracy: 0.9031

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4479	1.0	669	0.3181	0.8927
0.2679	2.0	1338	0.3321	0.9031

Framework versions

• Transformers 4.28.0
• Pytorch 1.13.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3