---
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