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End of training

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README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 2.0285
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- - Rouge1: 0.2525
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- - Rouge2: 0.1186
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- - Rougel: 0.2287
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- - Rougelsum: 0.2287
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  - Gen Len: 19.0
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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: 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
@@ -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 | 1 | 2.0521 | 0.2083 | 0.0125 | 0.172 | 0.172 | 19.0 |
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- | No log | 2.0 | 2 | 2.0387 | 0.2525 | 0.1186 | 0.2287 | 0.2287 | 19.0 |
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- | No log | 3.0 | 3 | 2.0339 | 0.2525 | 0.1186 | 0.2287 | 0.2287 | 19.0 |
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- | No log | 4.0 | 4 | 2.0285 | 0.2525 | 0.1186 | 0.2287 | 0.2287 | 19.0 |
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  ### Framework versions
 
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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: 0.7653
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+ - Rouge1: 0.2626
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+ - Rouge2: 0.1152
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+ - Rougel: 0.2091
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+ - Rougelsum: 0.2154
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  - Gen Len: 19.0
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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 Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 1 | 0.7984 | 0.1967 | 0.0091 | 0.1457 | 0.1457 | 19.0 |
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+ | No log | 2.0 | 2 | 0.7813 | 0.2626 | 0.1152 | 0.2091 | 0.2154 | 19.0 |
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+ | No log | 3.0 | 3 | 0.7706 | 0.2626 | 0.1152 | 0.2091 | 0.2154 | 19.0 |
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+ | No log | 4.0 | 4 | 0.7653 | 0.2626 | 0.1152 | 0.2091 | 0.2154 | 19.0 |
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  ### Framework versions
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