README.md

metadata

license: mit
base_model: indobenchmark/indobart-v2
tags:
  - generated_from_trainer
datasets:
  - squad
metrics:
  - rouge
model-index:
  - name: results
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: squad
          type: squad
          config: plain_text
          split: train[:1000]
          args: plain_text
        metrics:
          - name: Rouge1
            type: rouge
            value: 16.2693

results

This model is a fine-tuned version of indobenchmark/indobart-v2 on the squad dataset. It achieves the following results on the evaluation set:

• Loss: 1.5998
• Rouge1: 16.2693
• Rouge2: 14.9952
• Rougel: 16.233
• Rougelsum: 16.2741
• Gen Len: 20.0

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 1
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.4819	1.0	200	1.5998	16.2693	14.9952	16.233	16.2741	20.0

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.2
• Tokenizers 0.13.3