abdiharyadi/indobart-v2-amr-to-text-linearized-penman-ilmy-epochs-3-with-lemma-and-upos-and-voice

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indobart-v2-amr-to-text-linearized-penman-ilmy-epochs-3-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: 0.2112

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	331	0.2048
0.0755	2.0	662	0.2068
0.0755	3.0	993	0.2112

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3