bart_test_p2 / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: bart_test_p2
    results: []

bart_test_p2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0076

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: 1e-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: 3

Training results

Training Loss Epoch Step Validation Loss
0.018 0.18 500 0.0096
0.0189 0.35 1000 0.0097
0.0184 0.53 1500 0.0098
0.0167 0.7 2000 0.0094
0.0162 0.88 2500 0.0092
0.0162 1.05 3000 0.0086
0.0124 1.23 3500 0.0086
0.0127 1.4 4000 0.0084
0.0129 1.58 4500 0.0083
0.0123 1.75 5000 0.0080
0.0123 1.93 5500 0.0081
0.0104 2.1 6000 0.0079
0.0094 2.28 6500 0.0079
0.0103 2.45 7000 0.0077
0.01 2.63 7500 0.0077
0.0098 2.8 8000 0.0077
0.0095 2.98 8500 0.0076

Framework versions

  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0.dev20230621+cu117
  • Datasets 2.17.0
  • Tokenizers 0.15.0