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roberta-base-bne-finetuned-recores – AI Model by nandezgarcia | AlphaNeural AI
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nandezgarcia
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roberta-base-bne-finetuned-recores
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transformers
pytorch
tensorboard
roberta
multiple-choice
generated_from_trainer
apache-2.0
endpoints_compatible
us
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roberta-base-bne-finetuned-recores
This model is a fine-tuned version of
PlanTL-GOB-ES/roberta-base-bne
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.1113
Accuracy: 0.4601
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.5294
1.0
1047
1.4094
0.4242
0.6886
2.0
2094
2.1629
0.4545
0.0779
3.0
3141
2.3083
0.4545
0.0103
4.0
4188
3.0327
0.4628
0.0019
5.0
5235
3.1113
0.4601
Framework versions
Transformers 4.18.0
Pytorch 1.10.1+cu102
Datasets 2.2.1
Tokenizers 0.12.1
