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RoBERTa-IndoSQuADv2_1691593432-16-2e-06-0.01-5

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PyTorch
roberta
Generated from Trainer
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metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: RoBERTa-IndoSQuADv2_1691593432-16-2e-06-0.01-5
    results: []

RoBERTa-IndoSQuADv2_1691593432-16-2e-06-0.01-5

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

  • Loss: 2.2352

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-06
  • 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: 5

Training results

Training Loss Epoch Step Validation Loss
2.9255 1.0 8145 2.5500
2.3227 2.0 16290 2.3388
2.1706 3.0 24435 2.2679
2.0939 4.0 32580 2.2414
2.0546 5.0 40725 2.2352

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3