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abdiharyadi/indobart-v2-amr-to-text-linearized-penman-ilmy-epochs-10-with-lemma-and-upos-and-voice

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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indobart-v2-amr-to-text-linearized-penman-ilmy-epochs-10-with-lemma-and-upos-and-voice

This model is a fine-tuned version of indobenchmark/indobart-v2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2628

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
  • —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 log1.03310.1993
0.22912.06620.2123
0.22913.09930.2197
0.02384.013240.2400
0.01155.016550.2418
0.01156.019860.2446
0.00697.023170.2520
0.00448.026480.2584
0.00449.029790.2652
0.003410.033100.2628

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3