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update model card README.md

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@@ -3,6 +3,8 @@ 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: arxiv_model
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  results: []
@@ -14,6 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # arxiv_model
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
 
 
 
 
 
 
 
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  ## Model description
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@@ -38,13 +47,14 @@ The following hyperparameters were used during training:
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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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  ### 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 | 50 | 3.3411 | 0.2659 | 0.11 | 0.2275 | 0.227 | 18.94 |
 
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  ### Framework versions
 
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  base_model: t5-small
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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: arxiv_model
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  results: []
 
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  # arxiv_model
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7905
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+ - Rouge1: 0.2843
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+ - Rouge2: 0.1224
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+ - Rougel: 0.2425
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+ - Rougelsum: 0.2415
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+ - Gen Len: 18.73
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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: 2
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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 | 50 | 2.8857 | 0.2822 | 0.1222 | 0.2415 | 0.2397 | 18.81 |
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+ | No log | 2.0 | 100 | 2.7905 | 0.2843 | 0.1224 | 0.2425 | 0.2415 | 18.73 |
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  ### Framework versions