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roberta-finetuned-WebClassification-v2-smalllinguaEN

mnavas / roberta-finetuned-WebClassification-v2-smalllinguaEN

Run on huggingface.co
huggingface.co
Total runs: 4
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-smalllinguaEN

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

roberta-finetuned-WebClassification-v2-smalllinguaEN

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: 1.5844
  • Accuracy: 0.7143
  • F1: 0.7143
  • Precision: 0.7143
  • Recall: 0.7143
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 7 2.3084 0.0714 0.0714 0.0714 0.0714
No log 2.0 14 2.2951 0.2857 0.2857 0.2857 0.2857
No log 3.0 21 2.2725 0.2143 0.2143 0.2143 0.2143
No log 4.0 28 2.0608 0.2143 0.2143 0.2143 0.2143
No log 5.0 35 1.8552 0.3571 0.3571 0.3571 0.3571
No log 6.0 42 1.6846 0.5714 0.5714 0.5714 0.5714
No log 7.0 49 1.5844 0.7143 0.7143 0.7143 0.7143
No log 8.0 56 1.4531 0.7143 0.7143 0.7143 0.7143
No log 9.0 63 1.3746 0.7143 0.7143 0.7143 0.7143
No log 10.0 70 1.3663 0.7143 0.7143 0.7143 0.7143
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-smalllinguaEN on huggingface.co

4
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-smalllinguaEN huggingface.co Model

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

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

roberta-finetuned-WebClassification-v2-smalllinguaEN huggingface.co is an AI model on huggingface.co that provides roberta-finetuned-WebClassification-v2-smalllinguaEN's model effect (), which can be used instantly with this mnavas roberta-finetuned-WebClassification-v2-smalllinguaEN model. huggingface.co supports a free trial of the roberta-finetuned-WebClassification-v2-smalllinguaEN model, and also provides paid use of the roberta-finetuned-WebClassification-v2-smalllinguaEN. Support call roberta-finetuned-WebClassification-v2-smalllinguaEN model through api, including Node.js, Python, http.

roberta-finetuned-WebClassification-v2-smalllinguaEN huggingface.co Url

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

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

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mnavas roberta-finetuned-WebClassification-v2-smalllinguaEN online free url in huggingface.co:

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

roberta-finetuned-WebClassification-v2-smalllinguaEN install

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

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

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

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mnavas
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