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roberta-finetuned-WebClassification-v2-smalllinguaENES

mnavas / roberta-finetuned-WebClassification-v2-smalllinguaENES

Run on huggingface.co
huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: May 05 2023
text-classification

Introduction of roberta-finetuned-WebClassification-v2-smalllinguaENES

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

roberta-finetuned-WebClassification-v2-smalllinguaENES

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: 1.0053
  • Accuracy: 0.9355
  • F1: 0.9355
  • Precision: 0.9355
  • Recall: 0.9355
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 16 2.4058 0.1613 0.1613 0.1613 0.1613
No log 2.0 32 2.3931 0.0968 0.0968 0.0968 0.0968
No log 3.0 48 1.9594 0.4516 0.4516 0.4516 0.4516
No log 4.0 64 1.7428 0.6129 0.6129 0.6129 0.6129
No log 5.0 80 1.3781 0.8387 0.8387 0.8387 0.8387
No log 6.0 96 1.0053 0.9355 0.9355 0.9355 0.9355
No log 7.0 112 0.8489 0.8387 0.8387 0.8387 0.8387
No log 8.0 128 0.7135 0.8710 0.8710 0.8710 0.8710
No log 9.0 144 0.6700 0.8710 0.8710 0.8710 0.8710
No log 10.0 160 0.6511 0.9355 0.9355 0.9355 0.9355
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-smalllinguaENES on huggingface.co

2
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-smalllinguaENES huggingface.co Model

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

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

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

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

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

roberta-finetuned-WebClassification-v2-smalllinguaENES install

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

roberta-finetuned-WebClassification-v2-smalllinguaENES install url in huggingface.co:

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

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mnavas
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