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ganse/word_wizards_final_t5-small

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README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0079
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  - Rouge1: 1.0
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  - Rouge2: 1.0
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  - Rougel: 1.0
@@ -42,8 +42,8 @@ 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: 8
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- - eval_batch_size: 8
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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
@@ -54,10 +54,10 @@ 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 | 5 | 3.1320 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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- | No log | 2.0 | 10 | 0.4823 | 0.8571 | 0.4 | 0.8571 | 0.8571 | 13.0 |
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- | No log | 3.0 | 15 | 0.0376 | 1.0 | 1.0 | 1.0 | 1.0 | 11.0 |
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- | No log | 4.0 | 20 | 0.0079 | 1.0 | 1.0 | 1.0 | 1.0 | 11.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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  - Rouge1: 1.0
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  - Rouge2: 1.0
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  - Rougel: 1.0
 
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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: 2
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+ - eval_batch_size: 2
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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 | 20 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | 11.0 |
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+ | No log | 2.0 | 40 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | 11.0 |
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+ | No log | 3.0 | 60 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | 11.0 |
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+ | No log | 4.0 | 80 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | 11.0 |
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  ### Framework versions
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