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abdiharyadi/IndoT5-base-amr-to-text-linearized-penman-ilmy-epochs-10-with-lemma-and-upos-and-voice

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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IndoT5-base-amr-to-text-linearized-penman-ilmy-epochs-10-with-lemma-and-upos-and-voice

This model is a fine-tuned version of Wikidepia/IndoT5-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.2948

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
No log1.03310.7072
0.45992.06620.7502
0.45993.09930.8377
0.06054.013241.0332
0.02535.016551.1047
0.02536.019861.0692
0.0167.023171.1282
0.00938.026481.2508
0.00939.029791.2754
0.006710.033101.2948

Framework versions

  • —Transformers 4.32.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3