phdreg commited on
Commit
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1 Parent(s): b5df194

Model save

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README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: t5-base
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: t5-base-finetuned-feedback
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  results: []
@@ -13,7 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # t5-base-finetuned-feedback
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- This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
 
 
 
 
 
 
 
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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: 1
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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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- | No log | 1.0 | 61 | 1.5564 | 51.3855 | 26.7092 | 49.3104 | 49.3891 | 9.5702 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
 
 
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - rouge
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  model-index:
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  - name: t5-base-finetuned-feedback
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  results: []
 
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  # t5-base-finetuned-feedback
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2738
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+ - Rouge1: 55.9578
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+ - Rouge2: 31.3401
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+ - Rougel: 52.9556
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+ - Rougelsum: 53.1034
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+ - Gen Len: 10.2562
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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: 10
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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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+ | No log | 1.0 | 61 | 1.4341 | 53.0065 | 28.3454 | 50.4489 | 50.5377 | 9.3388 |
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+ | No log | 2.0 | 122 | 1.3604 | 53.2275 | 28.6424 | 50.6585 | 50.7617 | 9.8182 |
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+ | No log | 3.0 | 183 | 1.3207 | 52.7581 | 28.6272 | 49.6977 | 49.7928 | 10.0661 |
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+ | No log | 4.0 | 244 | 1.3098 | 53.5227 | 28.6578 | 50.2637 | 50.2897 | 9.9752 |
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+ | No log | 5.0 | 305 | 1.2898 | 54.4587 | 29.8825 | 51.3522 | 51.4744 | 9.876 |
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+ | No log | 6.0 | 366 | 1.2781 | 54.046 | 29.7089 | 51.3241 | 51.4283 | 10.1818 |
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+ | No log | 7.0 | 427 | 1.2771 | 55.1788 | 30.8745 | 52.3598 | 52.4871 | 10.2149 |
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+ | No log | 8.0 | 488 | 1.2762 | 55.6258 | 30.9444 | 52.5715 | 52.6889 | 10.2397 |
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+ | 1.2952 | 9.0 | 549 | 1.2746 | 55.759 | 30.918 | 52.8427 | 52.8878 | 10.1818 |
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+ | 1.2952 | 10.0 | 610 | 1.2738 | 55.9578 | 31.3401 | 52.9556 | 53.1034 | 10.2562 |
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  ### Framework versions
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