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Pushparaj20/new

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README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3121
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- - Rouge1: 2.7415
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- - Rouge2: 1.5559
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- - Rougel: 2.5814
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- - Rougelsum: 2.5024
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- - Gen Len: 0.8852
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  ## Model description
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@@ -47,17 +47,18 @@ 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: 4
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  - mixed_precision_training: Native AMP
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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 | 38 | 3.7664 | 25.6554 | 14.4317 | 24.6065 | 24.6356 | 9.3185 |
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- | No log | 2.0 | 76 | 0.3736 | 7.4277 | 2.6793 | 7.2235 | 7.1821 | 4.2111 |
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- | No log | 3.0 | 114 | 0.3197 | 5.1511 | 2.5176 | 4.8318 | 4.8625 | 1.963 |
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- | No log | 4.0 | 152 | 0.3121 | 2.7415 | 1.5559 | 2.5814 | 2.5024 | 0.8852 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1630
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+ - Rouge1: 66.0728
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+ - Rouge2: 48.2651
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+ - Rougel: 65.0881
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+ - Rougelsum: 64.9953
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+ - Gen Len: 14.0178
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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: 5
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  - mixed_precision_training: Native AMP
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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 | 63 | 0.3641 | 6.8173 | 2.0998 | 6.622 | 6.5952 | 4.2956 |
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+ | No log | 2.0 | 126 | 0.2475 | 0.5115 | 0.4098 | 0.4238 | 0.4359 | 0.1267 |
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+ | No log | 3.0 | 189 | 0.1762 | 51.2946 | 37.2414 | 50.0953 | 49.9607 | 11.5711 |
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+ | No log | 4.0 | 252 | 0.1653 | 64.4676 | 46.8688 | 63.3822 | 63.338 | 13.6889 |
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+ | No log | 5.0 | 315 | 0.1630 | 66.0728 | 48.2651 | 65.0881 | 64.9953 | 14.0178 |
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  ### Framework versions
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