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roberta-finetuned-WebClassification-v2-smalllinguaMultiv2

mnavas / roberta-finetuned-WebClassification-v2-smalllinguaMultiv2

Run on huggingface.co
huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: -1
30-day runs: -8
Model's Last Updated: October 19 2023
text-classification

Introduction of roberta-finetuned-WebClassification-v2-smalllinguaMultiv2

Model Details of roberta-finetuned-WebClassification-v2-smalllinguaMultiv2

roberta-finetuned-WebClassification-v2-smalllinguaMultiv2

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: 0.8644
  • Accuracy: 0.8387
  • F1: 0.8387
  • Precision: 0.8387
  • Recall: 0.8387
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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
No log 1.0 95 2.3654 0.4409 0.4409 0.4409 0.4409
No log 2.0 190 1.8455 0.5269 0.5269 0.5269 0.5269
No log 3.0 285 1.4468 0.6344 0.6344 0.6344 0.6344
No log 4.0 380 1.1099 0.7419 0.7419 0.7419 0.7419
No log 5.0 475 1.0515 0.7634 0.7634 0.7634 0.7634
1.6355 6.0 570 0.9938 0.7312 0.7312 0.7312 0.7312
1.6355 7.0 665 0.8275 0.7957 0.7957 0.7957 0.7957
1.6355 8.0 760 0.8344 0.7957 0.7957 0.7957 0.7957
1.6355 9.0 855 0.8516 0.8065 0.8065 0.8065 0.8065
1.6355 10.0 950 0.8723 0.7957 0.7957 0.7957 0.7957
0.2827 11.0 1045 0.8644 0.8387 0.8387 0.8387 0.8387
0.2827 12.0 1140 0.9343 0.8065 0.8065 0.8065 0.8065
0.2827 13.0 1235 1.0181 0.7957 0.7957 0.7957 0.7957
0.2827 14.0 1330 1.0068 0.7957 0.7957 0.7957 0.7957
0.2827 15.0 1425 1.0085 0.8065 0.8065 0.8065 0.8065
0.0485 16.0 1520 1.0257 0.8280 0.8280 0.8280 0.8280
0.0485 17.0 1615 1.0305 0.8172 0.8172 0.8172 0.8172
0.0485 18.0 1710 1.0648 0.7957 0.7957 0.7957 0.7957
0.0485 19.0 1805 1.0677 0.7957 0.7957 0.7957 0.7957
0.0485 20.0 1900 1.0687 0.7957 0.7957 0.7957 0.7957
Framework versions
  • Transformers 4.31.0.dev0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3

Runs of mnavas roberta-finetuned-WebClassification-v2-smalllinguaMultiv2 on huggingface.co

13
Total runs
0
24-hour runs
1
3-day runs
-1
7-day runs
-8
30-day runs

More Information About roberta-finetuned-WebClassification-v2-smalllinguaMultiv2 huggingface.co Model

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roberta-finetuned-WebClassification-v2-smalllinguaMultiv2 install

roberta-finetuned-WebClassification-v2-smalllinguaMultiv2 is an open source model from GitHub that offers a free installation service, and any user can find roberta-finetuned-WebClassification-v2-smalllinguaMultiv2 on GitHub to install. At the same time, huggingface.co provides the effect of roberta-finetuned-WebClassification-v2-smalllinguaMultiv2 install, users can directly use roberta-finetuned-WebClassification-v2-smalllinguaMultiv2 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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