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--- |
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license: mit |
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base_model: indobenchmark/indobart-v2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad |
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metrics: |
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- rouge |
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model-index: |
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- name: modified-qa |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: squad |
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type: squad |
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config: plain_text |
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split: train[:1000] |
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args: plain_text |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 13.4458 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# modified-qa |
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This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9723 |
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- Rouge1: 13.4458 |
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- Rouge2: 6.819 |
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- Rougel: 11.2064 |
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- Rougelsum: 12.5476 |
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- Gen Len: 20.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 1 |
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- label_smoothing_factor: 0.1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
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| 4.436 | 1.0 | 200 | 3.9723 | 13.4458 | 6.819 | 11.2064 | 12.5476 | 20.0 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.2 |
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- Tokenizers 0.13.3 |
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