mabrouk / xlm-roberta-base-finetuned-panx-all

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Total runs: 5
24-hour runs: 0
7-day runs: -1
30-day runs: -2
Model's Last Updated: August 01 2023
token-classification

Introduction of xlm-roberta-base-finetuned-panx-all

Model Details of xlm-roberta-base-finetuned-panx-all

xlm-roberta-base-finetuned-panx-all

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: 0.1725
  • F1: 0.8571
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: 5e-05
  • train_batch_size: 24
  • eval_batch_size: 24
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss F1
0.2983 1.0 835 0.1896 0.8118
0.1553 2.0 1670 0.1642 0.8493
0.0984 3.0 2505 0.1725 0.8571
Framework versions
  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.2
  • Tokenizers 0.13.3

Runs of mabrouk xlm-roberta-base-finetuned-panx-all on huggingface.co

5
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0
24-hour runs
-1
3-day runs
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7-day runs
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30-day runs

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