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bustamiyusoef/nougat_JawiCharJawi_AHR
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metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: bustamiyusoef/_nougat_JawiChar_Jawi
tags:
  - generated_from_trainer
model-index:
  - name: _nougat_JawiCharJawi_AHR
    results: []

_nougat_JawiCharJawi_AHR

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

  • Loss: 1.9923

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 6
  • total_train_batch_size: 48
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 9 2.3985
15.1378 2.0 18 2.2738
13.1108 3.0 27 2.2290
12.6153 4.0 36 2.1573
12.2237 5.0 45 2.1169
11.8336 6.0 54 2.0919
11.5763 7.0 63 2.0773
11.3269 8.0 72 2.0492
11.1202 9.0 81 2.0450
10.2585 10.0 90 2.0421
10.2585 11.0 99 2.0222
10.864 12.0 108 2.0165
10.7603 13.0 117 2.0047
10.6177 14.0 126 2.0067
10.5024 15.0 135 2.0107
10.3865 16.0 144 2.0011
10.3026 17.0 153 1.9990
10.2636 18.0 162 1.9944
10.2232 19.0 171 1.9910
9.356 20.0 180 1.9946
9.356 21.0 189 1.9937
10.1019 22.0 198 1.9923

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0