phdreg commited on
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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-small
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: t5-small-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-small-finetuned-feedback
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) 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 | 2.8833 | 25.2386 | 10.3113 | 22.3801 | 22.4314 | 16.1818 |
 
 
 
 
 
 
 
 
 
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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-small-finetuned-feedback
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  results: []
 
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  # t5-small-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: 1.6219
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+ - Rouge1: 50.8511
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+ - Rouge2: 26.8493
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+ - Rougel: 48.4905
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+ - Rougelsum: 48.5418
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+ - Gen Len: 10.0496
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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 | 2.1472 | 36.9176 | 16.7706 | 34.7237 | 34.8094 | 11.3802 |
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+ | No log | 2.0 | 122 | 1.9311 | 45.014 | 22.0586 | 42.7869 | 42.7636 | 10.6694 |
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+ | No log | 3.0 | 183 | 1.8201 | 49.8661 | 25.8069 | 47.7022 | 47.7394 | 10.3223 |
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+ | No log | 4.0 | 244 | 1.7519 | 51.0514 | 27.3576 | 48.9062 | 48.9733 | 10.4132 |
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+ | No log | 5.0 | 305 | 1.7028 | 51.377 | 27.9206 | 49.4673 | 49.4886 | 10.0992 |
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+ | No log | 6.0 | 366 | 1.6731 | 50.702 | 27.4872 | 48.7413 | 48.7108 | 10.2066 |
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+ | No log | 7.0 | 427 | 1.6496 | 50.8295 | 27.4685 | 48.8267 | 48.7703 | 10.0 |
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+ | No log | 8.0 | 488 | 1.6334 | 50.7437 | 26.9485 | 48.4296 | 48.4472 | 10.0496 |
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+ | 2.0857 | 9.0 | 549 | 1.6239 | 50.7779 | 26.9387 | 48.5702 | 48.619 | 10.0331 |
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+ | 2.0857 | 10.0 | 610 | 1.6219 | 50.8511 | 26.8493 | 48.4905 | 48.5418 | 10.0496 |
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  ### Framework versions
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