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nadika
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medical_jargons_simplifier2

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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nadika commited on
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End of training

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  1. README.md +31 -7
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [luqh/ClinicalT5-base](https://huggingface.co/luqh/ClinicalT5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8220
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  ## Model description
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@@ -40,17 +40,41 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 5
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 10.7846 | 0.3378 | 50 | 6.4430 |
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- | 4.2345 | 0.6757 | 100 | 1.4337 |
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- | 1.6372 | 1.0135 | 150 | 0.9226 |
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- | 1.1813 | 1.3514 | 200 | 0.8504 |
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- | 1.1087 | 1.6892 | 250 | 0.8220 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [luqh/ClinicalT5-base](https://huggingface.co/luqh/ClinicalT5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4641
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 5
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 10.6338 | 0.3378 | 50 | 5.9582 |
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+ | 3.6156 | 0.6757 | 100 | 1.0741 |
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+ | 1.3304 | 1.0135 | 150 | 0.8368 |
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+ | 1.0096 | 1.3514 | 200 | 0.7519 |
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+ | 0.933 | 1.6892 | 250 | 0.7019 |
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+ | 0.8178 | 2.0270 | 300 | 0.6586 |
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+ | 0.7714 | 2.3649 | 350 | 0.6188 |
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+ | 0.7077 | 2.7027 | 400 | 0.5924 |
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+ | 0.7406 | 3.0405 | 450 | 0.5673 |
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+ | 0.6601 | 3.3784 | 500 | 0.5531 |
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+ | 0.6637 | 3.7162 | 550 | 0.5388 |
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+ | 0.6489 | 4.0541 | 600 | 0.5281 |
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+ | 0.6369 | 4.3919 | 650 | 0.5187 |
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+ | 0.5996 | 4.7297 | 700 | 0.5109 |
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+ | 0.5816 | 5.0676 | 750 | 0.5028 |
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+ | 0.5714 | 5.4054 | 800 | 0.4961 |
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+ | 0.5826 | 5.7432 | 850 | 0.4910 |
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+ | 0.5646 | 6.0811 | 900 | 0.4855 |
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+ | 0.5379 | 6.4189 | 950 | 0.4827 |
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+ | 0.5586 | 6.7568 | 1000 | 0.4785 |
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+ | 0.5408 | 7.0946 | 1050 | 0.4751 |
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+ | 0.5576 | 7.4324 | 1100 | 0.4727 |
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+ | 0.5241 | 7.7703 | 1150 | 0.4710 |
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+ | 0.5298 | 8.1081 | 1200 | 0.4695 |
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+ | 0.5424 | 8.4459 | 1250 | 0.4677 |
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+ | 0.5038 | 8.7838 | 1300 | 0.4665 |
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+ | 0.5545 | 9.1216 | 1350 | 0.4653 |
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+ | 0.523 | 9.4595 | 1400 | 0.4644 |
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+ | 0.5029 | 9.7973 | 1450 | 0.4641 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 891644712
 
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  size 891644712