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update model card README.md
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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
  - f1
model-index:
  - name: finetuning-movie-roberta-finetuned-sentiment-model-9000-samples
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: imdb
          type: imdb
          config: plain_text
          split: test
          args: plain_text
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9077777777777778
          - name: F1
            type: f1
            value: 0.906636670416198

finetuning-movie-roberta-finetuned-sentiment-model-9000-samples

This model is a fine-tuned version of xlm-roberta-base on the imdb dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5019
  • Accuracy: 0.9078
  • F1: 0.9066

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: 1e-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: 3

Training results

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2