peterandrew987
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update model card README.md
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README.md
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- generated_from_trainer
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datasets:
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- squad
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model-index:
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- name: results
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results:
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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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# results
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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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## Model description
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- num_epochs: 1
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- label_smoothing_factor: 0.1
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### Framework versions
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- Transformers 4.31.0
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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: results
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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: 16.2693
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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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# results
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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: 1.5998
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- Rouge1: 16.2693
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- Rouge2: 14.9952
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- Rougel: 16.233
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- Rougelsum: 16.2741
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- Gen Len: 20.0
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## Model description
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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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| 1.4819 | 1.0 | 200 | 1.5998 | 16.2693 | 14.9952 | 16.233 | 16.2741 | 20.0 |
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### Framework versions
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- Transformers 4.31.0
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