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End of training
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metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
  - generated_from_trainer
datasets:
  - stanfordnlp/snli
metrics:
  - accuracy
model-index:
  - name: bart-large-snli-model1
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: snli
          type: stanfordnlp/snli
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9052021946758789

bart-large-snli-model1

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

  • Loss: 0.2739
  • Accuracy: 0.9052

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: 128
  • eval_batch_size: 128
  • seed: 24
  • 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
0.3865 1.0 4292 0.2993 0.8906
0.3276 2.0 8584 0.2780 0.9018
0.2925 3.0 12876 0.2739 0.9052

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0