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roberta-finetuned-WebClassification-v2-smalllinguaES

mnavas / roberta-finetuned-WebClassification-v2-smalllinguaES

Run on huggingface.co
huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: May 10 2023
text-classification

Introduction of roberta-finetuned-WebClassification-v2-smalllinguaES

Model Details of roberta-finetuned-WebClassification-v2-smalllinguaES

roberta-finetuned-WebClassification-v2-smalllinguaES

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2410
  • Accuracy: 0.6471
  • F1: 0.6471
  • Precision: 0.6471
  • Recall: 0.6471
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
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
No log 1.0 9 2.3023 0.0588 0.0588 0.0588 0.0588
No log 2.0 18 2.0337 0.2353 0.2353 0.2353 0.2353
No log 3.0 27 1.8946 0.4706 0.4706 0.4706 0.4706
No log 4.0 36 1.7548 0.5882 0.5882 0.5882 0.5882
No log 5.0 45 1.6002 0.5294 0.5294 0.5294 0.5294
No log 6.0 54 1.4561 0.5294 0.5294 0.5294 0.5294
No log 7.0 63 1.3614 0.5294 0.5294 0.5294 0.5294
No log 8.0 72 1.2781 0.5882 0.5882 0.5882 0.5882
No log 9.0 81 1.2420 0.5882 0.5882 0.5882 0.5882
No log 10.0 90 1.2410 0.6471 0.6471 0.6471 0.6471
Framework versions
  • Transformers 4.27.3
  • Pytorch 2.0.0+cpu
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of mnavas roberta-finetuned-WebClassification-v2-smalllinguaES on huggingface.co

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

More Information About roberta-finetuned-WebClassification-v2-smalllinguaES huggingface.co Model

More roberta-finetuned-WebClassification-v2-smalllinguaES license Visit here:

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roberta-finetuned-WebClassification-v2-smalllinguaES huggingface.co

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https://huggingface.co/mnavas/roberta-finetuned-WebClassification-v2-smalllinguaES

mnavas roberta-finetuned-WebClassification-v2-smalllinguaES online free

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https://huggingface.co/mnavas/roberta-finetuned-WebClassification-v2-smalllinguaES

roberta-finetuned-WebClassification-v2-smalllinguaES install

roberta-finetuned-WebClassification-v2-smalllinguaES is an open source model from GitHub that offers a free installation service, and any user can find roberta-finetuned-WebClassification-v2-smalllinguaES on GitHub to install. At the same time, huggingface.co provides the effect of roberta-finetuned-WebClassification-v2-smalllinguaES install, users can directly use roberta-finetuned-WebClassification-v2-smalllinguaES installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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mnavas
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