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BART_subjqa_model_v1

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metadata
tags:
  - generated_from_trainer
model-index:
  - name: BART_subjqa_model_v1
    results: []

BART_subjqa_model_v1

This model is a fine-tuned version of valhalla/bart-large-finetuned-squadv1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 4.6023

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: 8
  • eval_batch_size: 8
  • 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
No log 1.0 410 2.3429
2.5714 2.0 820 2.5999
1.837 3.0 1230 2.9671
1.044 4.0 1640 3.8481
0.5292 5.0 2050 4.6023

Framework versions

  • Transformers 4.28.0
  • Pytorch 1.13.0a0+d321be6
  • Datasets 2.12.0
  • Tokenizers 0.13.3