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metadata
license: mit
base_model: xlm-roberta-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: xlm-roberta-base-finetuned-panx-all
    results: []

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: 0.1750
  • F1: 0.8510

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
0.2959 1.0 835 0.2168 0.7982
0.1564 2.0 1670 0.1680 0.8433
0.0997 3.0 2505 0.1750 0.8510

Framework versions

  • Transformers 4.39.0
  • Pytorch 2.2.1
  • Datasets 2.0.0
  • Tokenizers 0.15.2