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indobart-v2-amr-to-text-linearized-penman-ilmy – AI Model by abdiharyadi | AlphaNeural AI
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abdiharyadi
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indobart-v2-amr-to-text-linearized-penman-ilmy
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
indobenchmark/indobart-v2
finetune
mit
endpoints_compatible
us
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indobart-v2-amr-to-text-linearized-penman-ilmy
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: 0.1927
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
331
0.1928
0.2519
2.0
662
0.1978
0.2519
3.0
993
0.1927
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
