t5Indo2Sunda / README.md
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metadata
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: pijarcandra22/t5Indo2Sunda
    results: []

pijarcandra22/t5Indo2Sunda

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 2.9510
  • Validation Loss: 2.7350
  • Epoch: 15

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
4.3724 3.9124 0
3.9887 3.6348 1
3.7534 3.4215 2
3.5819 3.2847 3
3.4632 3.1902 4
3.3751 3.1139 5
3.3039 3.0493 6
3.2447 2.9955 7
3.1911 2.9481 8
3.1455 2.9082 9
3.1068 2.8718 10
3.0697 2.8387 11
3.0381 2.8105 12
3.0050 2.7825 13
2.9796 2.7568 14
2.9510 2.7350 15

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.14.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0