sohamchougule
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update model card README.md
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README.md
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metrics:
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- name: Rouge1
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type: rouge
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value:
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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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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the aeslc dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.
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- Rouge1:
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- Rouge2: 19.
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- Rougel:
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- Rougelsum:
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- Gen Len:
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## Model description
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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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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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| 2.
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### Framework versions
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metrics:
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- name: Rouge1
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type: rouge
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value: 38.0679
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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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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the aeslc dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.6657
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- Rouge1: 38.0679
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- Rouge2: 19.8904
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- Rougel: 37.1179
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- Rougelsum: 37.1066
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- Gen Len: 9.1316
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## Model description
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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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- num_epochs: 3
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- mixed_precision_training: Native AMP
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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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| 2.6268 | 1.0 | 7218 | 4.4738 | 36.0615 | 18.1082 | 35.2023 | 35.175 | 8.0694 |
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| 1.9548 | 2.0 | 14436 | 4.4965 | 37.1784 | 19.2713 | 36.2803 | 36.2347 | 9.2699 |
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| 1.4117 | 3.0 | 21654 | 4.6657 | 38.0679 | 19.8904 | 37.1179 | 37.1066 | 9.1316 |
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### Framework versions
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