roberta-base-bne-sqac-finetuned-recores-long

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

• Loss: 1.8161
• Accuracy: 0.3710

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• 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
1.6126	1.0	653	1.5897	0.3032
1.4433	2.0	1306	1.4736	0.4163
0.8946	3.0	1959	1.8161	0.3710

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.1+cu102
• Datasets 2.2.1
• Tokenizers 0.12.1