JamesLemo / xlm-roberta-base-finetuned-emotion

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: -2
30-day runs: 2
Model's Last Updated: October 29 2025
text-classification

Introduction of xlm-roberta-base-finetuned-emotion

Model Details of xlm-roberta-base-finetuned-emotion

xlm-roberta-base-finetuned-emotion

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: 0.1129
  • Accuracy: 0.96
  • F1: 0.9608
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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 2
Training results
Training Loss Epoch Step Validation Loss Accuracy F1
0.3987 1.0 40 0.2408 0.8822 0.8695
0.1874 2.0 80 0.1129 0.96 0.9608
Framework versions
  • Transformers 4.57.1
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.1

Runs of JamesLemo xlm-roberta-base-finetuned-emotion on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
2
30-day runs

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xlm-roberta-base-finetuned-emotion install

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

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