roberta-base-bne-finetuned-sqac

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

• Loss: 1.2066

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.9924	1.0	1196	0.8670
0.474	2.0	2392	0.8923
0.1637	3.0	3588	1.2066

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.14.0
• Tokenizers 0.10.3