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---
tags:
- generated_from_trainer
datasets:
- data
model-index:
- name: mbart-en-id-smaller-indo-amr-parsing-translated-nafkhan-trial
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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
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