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ChayanM
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ViT-RadBert_Mimic

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vision-encoder-decoder
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  1. README.md +23 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -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: 0.3546
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- - Rouge1: 2.0126
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  - Rouge2: 0.0
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- - Rougel: 1.9996
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- - Rougelsum: 2.0291
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- - Gen Len: 14.66
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  ## Model description
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@@ -45,15 +45,27 @@ 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: 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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- | 0.3204 | 1.0 | 1750 | 0.5844 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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- | 0.2785 | 2.0 | 3500 | 0.3453 | 13.8451 | 0.7829 | 13.8799 | 13.8866 | 14.142 |
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- | 0.2708 | 3.0 | 5250 | 0.3546 | 2.0126 | 0.0 | 1.9996 | 2.0291 | 14.66 |
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.7877
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+ - Rouge1: 0.0
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  - Rouge2: 0.0
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+ - Rougel: 0.0
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+ - Rougelsum: 0.0
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+ - Gen Len: 20.0
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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: 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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+ | 0.2467 | 1.0 | 1750 | 0.2455 | 15.3883 | 0.0 | 15.4185 | 15.4293 | 12.065 |
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+ | 0.2303 | 2.0 | 3500 | 0.2513 | 13.5368 | 0.0 | 13.5094 | 13.4921 | 14.028 |
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+ | 0.233 | 3.0 | 5250 | 0.2487 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.2317 | 4.0 | 7000 | 0.2515 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.229 | 5.0 | 8750 | 0.2563 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.2334 | 6.0 | 10500 | 0.5032 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.216 | 7.0 | 12250 | 0.6445 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.2154 | 8.0 | 14000 | 0.7287 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.2065 | 9.0 | 15750 | 0.7666 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.206 | 10.0 | 17500 | 0.6641 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.2014 | 11.0 | 19250 | 0.7032 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.1784 | 12.0 | 21000 | 0.7845 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.1854 | 13.0 | 22750 | 0.8179 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.1801 | 14.0 | 24500 | 0.7788 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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+ | 0.1743 | 15.0 | 26250 | 0.7877 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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