md_mt5_0109_v6 / README.md
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metadata
license: apache-2.0
base_model: Buseak/md_mt5_0109_v5
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: md_mt5_0109_v6
    results: []

md_mt5_0109_v6

This model is a fine-tuned version of Buseak/md_mt5_0109_v5 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0628
  • Bleu: 0.6537
  • Gen Len: 18.9513

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.1911 1.0 975 0.0801 0.6356 18.9449
0.1854 2.0 1950 0.0782 0.6365 18.9446
0.1807 3.0 2925 0.0755 0.6419 18.9485
0.175 4.0 3900 0.0732 0.6431 18.949
0.1699 5.0 4875 0.0720 0.6471 18.949
0.1669 6.0 5850 0.0701 0.6474 18.9497
0.165 7.0 6825 0.0682 0.6494 18.95
0.1604 8.0 7800 0.0673 0.6508 18.9505
0.1585 9.0 8775 0.0665 0.6516 18.9505
0.1512 10.0 9750 0.0652 0.6518 18.9508
0.1543 11.0 10725 0.0646 0.653 18.9505
0.155 12.0 11700 0.0639 0.6533 18.9505
0.1506 13.0 12675 0.0633 0.6537 18.951
0.1493 14.0 13650 0.0629 0.6538 18.951
0.1486 15.0 14625 0.0628 0.6537 18.9513

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2