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Chaitanya14
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flan-t5-base-finetuned-xsum

Text2Text Generation
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t5
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update model card README.md

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  1. README.md +14 -21
README.md CHANGED
@@ -2,8 +2,6 @@
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  license: apache-2.0
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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: flan-t5-base-finetuned-xsum
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  results: []
@@ -17,11 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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- - Rouge1: 2.0327
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- - Rouge2: 0.0
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- - Rougel: 2.0327
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- - Rougelsum: 2.0327
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- - Gen Len: 5.3478
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  ## Model description
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@@ -41,8 +34,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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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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  ### 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 | 13 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 2.0 | 26 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 3.0 | 39 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 4.0 | 52 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 5.0 | 65 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 6.0 | 78 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 7.0 | 91 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 8.0 | 104 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 9.0 | 117 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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- | No log | 10.0 | 130 | nan | 2.0327 | 0.0 | 2.0327 | 2.0327 | 5.3478 |
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  ### Framework versions
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: flan-t5-base-finetuned-xsum
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  results: []
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
 
 
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 7 | nan |
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+ | No log | 2.0 | 14 | nan |
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+ | No log | 3.0 | 21 | nan |
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+ | No log | 4.0 | 28 | nan |
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+ | No log | 5.0 | 35 | nan |
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+ | No log | 6.0 | 42 | nan |
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+ | No log | 7.0 | 49 | nan |
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+ | No log | 8.0 | 56 | nan |
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+ | No log | 9.0 | 63 | nan |
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+ | No log | 10.0 | 70 | nan |
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  ### Framework versions