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bart-base-bn-adapter-895K-snli-model2

This model is a fine-tuned version of facebook/bart-base on the snli dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3775
  • Accuracy: 0.8572

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: 64
  • eval_batch_size: 32
  • seed: 54
  • 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 Accuracy
0.5209 1.0 8584 0.4159 0.8383
0.4809 2.0 17168 0.3858 0.8534
0.473 3.0 25752 0.3775 0.8572

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Model tree for varun-v-rao/bart-base-bn-adapter-895K-snli-model2

Base model

facebook/bart-base
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Dataset used to train varun-v-rao/bart-base-bn-adapter-895K-snli-model2

Evaluation results