Roberta-large-AS-HU

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne-te on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6781
• F1-score: 0.5866

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• 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-score
0.6972	1.0	127	0.6782	0.5866
0.6816	2.0	254	0.6786	0.5866
0.682	3.0	381	0.6784	0.5866
0.6799	4.0	508	0.6782	0.5866
0.6789	5.0	635	0.6781	0.5866

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1