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metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: roberta-base-finetuned-squad
    results: []

roberta-base-finetuned-squad

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

  • Loss: 0.9111

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
  • 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
0.863 1.0 5536 0.8863
0.685 2.0 11072 0.8660
0.5397 3.0 16608 0.9111

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2