mbart-en-id-smaller-indo-amr-parsing-translated-nafkhan-trial

This model was trained from scratch on the data dataset. It achieves the following results on the evaluation set:

• Loss: 1.7345
• Smatch: 0.4022
• Gen Len: 33.6

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: 1e-06
• train_batch_size: 5
• eval_batch_size: 5
• seed: 42
• gradient_accumulation_steps: 5
• total_train_batch_size: 25
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: polynomial
• lr_scheduler_warmup_steps: 200
• num_epochs: 3.0
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Smatch	Gen Len
3.2887	0.9934	90	3.4007	0.3046	210.7333
1.5144	1.9978	181	1.8273	0.4078	29.0
1.3575	2.9801	270	1.7345	0.4022	33.6

Framework versions

• Transformers 4.44.0
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1