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mbart-en-id-smaller-indo-amr-generation-fted-with-prefix

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mbart
Generated from Trainer
Eval Results
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mbart-en-id-smaller-indo-amr-generation-fted-with-prefix
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---
tags:
- generated_from_trainer
datasets:
- data
metrics:
- bleu
model-index:
- name: mbart-en-id-smaller-indo-amr-generation-fted-with-prefix
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: data
      type: data
      config: default
      split: validation
      args: default
    metrics:
    - name: Bleu
      type: bleu
      value: 13.717
---

<!-- 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-generation-fted-with-prefix

This model was trained from scratch on the data dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3974
- Bleu: 13.717
- Gen Len: 36.5221

## 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-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 200
- num_epochs: 16.0
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch   | Step  | Bleu    | Gen Len  | Validation Loss |
|:-------------:|:-------:|:-----:|:-------:|:--------:|:---------------:|
| 3.0219        | 0.9999  | 3869  | 0.0741  | 114.8177 | 2.9798          |
| 2.8978        | 2.0     | 7739  | 0.0747  | 113.0081 | 2.8610          |
| 2.8109        | 2.9999  | 11608 | 0.0795  | 111.475  | 2.7648          |
| 2.7623        | 4.0     | 15478 | 0.1685  | 105.7747 | 2.6956          |
| 2.7116        | 4.9999  | 19347 | 0.5081  | 92.4187  | 2.6404          |
| 2.6331        | 5.9999  | 23214 | 1.6991  | 66.9245  | 2.5961          |
| 2.5716        | 7.0     | 27084 | 5.2201  | 46.1405  | 2.5611          |
| 2.5943        | 7.9999  | 30953 | 8.0263  | 40.7538  | 2.5300          |
| 2.5622        | 9.0     | 34823 | 10.2353 | 38.2607  | 2.5050          |
| 2.537         | 9.9999  | 38692 | 11.3364 | 36.0732  | 2.4840          |
| 2.5345        | 11.0    | 42562 | 12.1716 | 36.4367  | 2.4645          |
| 2.4706        | 11.9999 | 46428 | 2.4479  | 12.51    | 37.4146         |
| 2.4558        | 13.0    | 50298 | 2.4330  | 12.8144  | 37.2979         |
| 2.4125        | 13.9999 | 54167 | 2.4199  | 13.0772  | 37.0436         |
| 2.4053        | 15.0    | 58037 | 2.4081  | 13.5764  | 36.1492         |
| 2.439         | 15.9994 | 61904 | 2.3974  | 13.717   | 36.5221         |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1