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metadata
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
  - generated_from_trainer
metrics:
  - recall
  - precision
model-index:
  - name: roberta-base-fine-tuned-flipkart-reviews-am
    results: []

roberta-base-fine-tuned-flipkart-reviews-am

This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1412
  • Recall: 0.9667
  • Precision: 0.9667

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: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.39.0
  • Pytorch 2.2.1+cu121
  • Tokenizers 0.15.2