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ChayanM
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ViT-Bert_Mimic

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@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1692
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- - Rouge1: 20.3071
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- - Rouge2: 17.0769
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- - Rougel: 20.3425
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- - Rougelsum: 20.2544
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- - Gen Len: 17.62
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  ## Model description
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@@ -45,27 +45,15 @@ 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: 15
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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 | 250 | 0.1710 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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- | 0.3208 | 2.0 | 500 | 0.1424 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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- | 0.3208 | 3.0 | 750 | 0.1396 | 28.6163 | 23.3316 | 28.7485 | 28.5768 | 15.76 |
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- | 0.087 | 4.0 | 1000 | 0.1349 | 15.1174 | 12.3333 | 15.1103 | 15.0938 | 18.16 |
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- | 0.087 | 5.0 | 1250 | 0.1373 | 1.5 | 0.6667 | 1.5 | 1.5 | 19.8 |
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- | 0.0621 | 6.0 | 1500 | 0.1418 | 29.7634 | 24.3915 | 29.9052 | 29.7154 | 16.0 |
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- | 0.0621 | 7.0 | 1750 | 0.1453 | 1.0 | 1.0 | 1.0 | 1.0 | 19.92 |
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- | 0.0415 | 8.0 | 2000 | 0.1504 | 6.75 | 5.6667 | 6.75 | 6.75 | 19.22 |
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- | 0.0415 | 9.0 | 2250 | 0.1547 | 18.9444 | 16.7436 | 19.1202 | 18.9032 | 18.06 |
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- | 0.0254 | 10.0 | 2500 | 0.1591 | 19.2342 | 15.6667 | 19.2782 | 19.1123 | 17.44 |
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- | 0.0254 | 11.0 | 2750 | 0.1601 | 19.9154 | 17.3654 | 20.011 | 19.8499 | 17.91 |
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- | 0.0147 | 12.0 | 3000 | 0.1647 | 16.9972 | 13.0769 | 16.9972 | 16.9154 | 17.96 |
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- | 0.0147 | 13.0 | 3250 | 0.1676 | 22.2859 | 16.9093 | 22.4548 | 22.1609 | 16.66 |
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- | 0.0094 | 14.0 | 3500 | 0.1684 | 20.2714 | 16.7308 | 20.4544 | 20.2507 | 17.47 |
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- | 0.0094 | 15.0 | 3750 | 0.1692 | 20.3071 | 17.0769 | 20.3425 | 20.2544 | 17.62 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0924
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+ - Rouge1: 34.7587
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+ - Rouge2: 25.3644
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+ - Rougel: 34.5531
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+ - Rougelsum: 34.6322
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+ - Gen Len: 13.584
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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: 3
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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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+ | 0.0952 | 1.0 | 2500 | 0.0960 | 26.9673 | 20.9727 | 26.939 | 26.9315 | 15.552 |
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+ | 0.0768 | 2.0 | 5000 | 0.0931 | 35.4227 | 25.9227 | 35.1707 | 35.3002 | 13.552 |
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+ | 0.0662 | 3.0 | 7500 | 0.0924 | 34.7587 | 25.3644 | 34.5531 | 34.6322 | 13.584 |
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions