Bart-base / README.md
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metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_trainer
model-index:
  - name: Bart-base
    results: []

Bart-base

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

  • Loss: nan

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss
940437.376 0.32 250 nan
0.0 0.64 500 nan
0.0 0.96 750 nan
0.0 1.28 1000 nan
0.0 1.61 1250 nan
0.0 1.93 1500 nan
0.0 2.25 1750 nan
0.0 2.57 2000 nan
0.0 2.89 2250 nan
0.0 3.21 2500 nan
0.0 3.53 2750 nan
0.0 3.85 3000 nan
0.0 4.17 3250 nan
0.0 4.49 3500 nan
0.0 4.82 3750 nan
0.0 5.14 4000 nan
0.0 5.46 4250 nan
0.0 5.78 4500 nan

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.19.1
  • Tokenizers 0.15.2