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LeoR2
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flan-t5-small-finetuned-Coca

Text2Text Generation
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  1. README.md +9 -9
  2. runs/Nov17_00-49-00_9a95aa27ca08/events.out.tfevents.1700182202.9a95aa27ca08.3144.0 +3 -0
  3. runs/Nov17_01-15-58_9a95aa27ca08/events.out.tfevents.1700183763.9a95aa27ca08.12896.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ 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-small](https://huggingface.co/google/flan-t5-small) on the None 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: 35.7982
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- - Rouge2: 14.0591
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- - Rougel: 29.6744
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- - Rougelsum: 29.7484
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- - Gen Len: 17.1045
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  ## Model description
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@@ -42,8 +42,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 3
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- - eval_batch_size: 3
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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
@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
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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 | 201 | nan | 35.7982 | 14.0591 | 29.6744 | 29.7484 | 17.1045 |
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- | No log | 2.0 | 402 | nan | 35.7982 | 14.0591 | 29.6744 | 29.7484 | 17.1045 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None 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: 35.8419
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+ - Rouge2: 14.1387
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+ - Rougel: 29.6846
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+ - Rougelsum: 29.7698
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+ - Gen Len: 17.0846
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 6
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+ - eval_batch_size: 6
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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 Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | No log | 1.0 | 101 | nan | 35.8419 | 14.1387 | 29.6846 | 29.7698 | 17.0846 |
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+ | No log | 2.0 | 202 | nan | 35.8419 | 14.1387 | 29.6846 | 29.7698 | 17.0846 |
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  ### Framework versions
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