mnavas / roberta-finetuned-qa-reqzarv0

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Total runs: 4
24-hour runs: 0
7-day runs: 1
30-day runs: 3
Model's Last Updated: May 24 2023
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Introduction of roberta-finetuned-qa-reqzarv0

Model Details of roberta-finetuned-qa-reqzarv0

roberta-finetuned-qa-reqzarv0

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on the None dataset.

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: 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: 10
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • Transformers 4.28.1
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3

Runs of mnavas roberta-finetuned-qa-reqzarv0 on huggingface.co

4
Total runs
0
24-hour runs
1
3-day runs
1
7-day runs
3
30-day runs

More Information About roberta-finetuned-qa-reqzarv0 huggingface.co Model

More roberta-finetuned-qa-reqzarv0 license Visit here:

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roberta-finetuned-qa-reqzarv0 install

roberta-finetuned-qa-reqzarv0 is an open source model from GitHub that offers a free installation service, and any user can find roberta-finetuned-qa-reqzarv0 on GitHub to install. At the same time, huggingface.co provides the effect of roberta-finetuned-qa-reqzarv0 install, users can directly use roberta-finetuned-qa-reqzarv0 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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