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bart-with-asr-noise-ins-0.1

Text2Text Generation
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bart
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metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_trainer
model-index:
  - name: bart-with-asr-noise-ins-0.1
    results: []

bart-with-asr-noise-ins-0.1

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0443

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: 5e-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
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.0869 0.62 500 0.0645
0.0536 1.24 1000 0.0727
0.0385 1.86 1500 0.0474
0.0212 2.48 2000 0.0443

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2