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nandezgarcia/
roberta-base-bne-sqac-finetuned-recores

Name: roberta-base-bne-sqac-finetuned-recores
Rating: 2.5 (5 reviews)

generated_from_trainer

apache-2.0

endpoints_compatible

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roberta-base-bne-sqac-finetuned-recores

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: 3.4624
Accuracy: 0.3691

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5643	1.0	1047	1.5474	0.3526
0.8147	2.0	2094	2.6498	0.3719
0.1618	3.0	3141	3.1061	0.3719
0.0135	4.0	4188	3.4624	0.3691

Framework versions

Transformers 4.18.0
Pytorch 1.10.1+cu102
Datasets 2.2.1
Tokenizers 0.12.1

nandezgarcia/roberta-base-bne-sqac-finetuned-recores

roberta-base-bne-sqac-finetuned-recores

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nandezgarcia/
roberta-base-bne-sqac-finetuned-recores