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clm-model

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update model card README.md

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@@ -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 [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0001
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  ## Model description
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@@ -39,22 +39,62 @@ 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: 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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- | No log | 1.0 | 38 | 1.2558 |
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- | No log | 2.0 | 76 | 0.2603 |
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- | No log | 3.0 | 114 | 0.0568 |
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- | No log | 4.0 | 152 | 0.0202 |
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- | No log | 5.0 | 190 | 0.0023 |
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- | No log | 6.0 | 228 | 0.0014 |
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- | No log | 7.0 | 266 | 0.0003 |
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- | No log | 8.0 | 304 | 0.0002 |
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- | No log | 9.0 | 342 | 0.0001 |
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- | No log | 10.0 | 380 | 0.0001 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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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: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 38 | 0.0088 |
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+ | No log | 2.0 | 76 | 0.0007 |
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+ | No log | 3.0 | 114 | 0.0003 |
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+ | No log | 4.0 | 152 | 0.0013 |
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+ | No log | 5.0 | 190 | 0.0000 |
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+ | No log | 6.0 | 228 | 0.0002 |
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+ | No log | 7.0 | 266 | 0.0100 |
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+ | No log | 8.0 | 304 | 0.0000 |
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+ | No log | 9.0 | 342 | 0.0000 |
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+ | No log | 10.0 | 380 | 0.0000 |
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+ | No log | 11.0 | 418 | 0.0000 |
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+ | No log | 12.0 | 456 | 0.0000 |
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+ | No log | 13.0 | 494 | 0.0000 |
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+ | 0.0057 | 14.0 | 532 | 0.0007 |
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+ | 0.0057 | 15.0 | 570 | 0.0000 |
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+ | 0.0057 | 16.0 | 608 | 0.0000 |
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+ | 0.0057 | 17.0 | 646 | 0.0000 |
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+ | 0.0057 | 18.0 | 684 | 0.0000 |
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+ | 0.0057 | 19.0 | 722 | 0.0000 |
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+ | 0.0057 | 20.0 | 760 | 0.0000 |
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+ | 0.0057 | 21.0 | 798 | 0.0000 |
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+ | 0.0057 | 22.0 | 836 | 0.0000 |
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+ | 0.0057 | 23.0 | 874 | 0.0000 |
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+ | 0.0057 | 24.0 | 912 | 0.0000 |
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+ | 0.0057 | 25.0 | 950 | 0.0000 |
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+ | 0.0057 | 26.0 | 988 | 0.0000 |
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+ | 0.0018 | 27.0 | 1026 | 0.0000 |
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+ | 0.0018 | 28.0 | 1064 | 0.0000 |
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+ | 0.0018 | 29.0 | 1102 | 0.0000 |
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+ | 0.0018 | 30.0 | 1140 | 0.0000 |
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+ | 0.0018 | 31.0 | 1178 | 0.0000 |
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+ | 0.0018 | 32.0 | 1216 | 0.0000 |
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+ | 0.0018 | 33.0 | 1254 | 0.0000 |
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+ | 0.0018 | 34.0 | 1292 | 0.0000 |
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+ | 0.0018 | 35.0 | 1330 | 0.0000 |
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+ | 0.0018 | 36.0 | 1368 | 0.0000 |
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+ | 0.0018 | 37.0 | 1406 | 0.0000 |
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+ | 0.0018 | 38.0 | 1444 | 0.0000 |
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+ | 0.0018 | 39.0 | 1482 | 0.0000 |
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+ | 0.0005 | 40.0 | 1520 | 0.0000 |
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+ | 0.0005 | 41.0 | 1558 | 0.0000 |
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+ | 0.0005 | 42.0 | 1596 | 0.0000 |
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+ | 0.0005 | 43.0 | 1634 | 0.0000 |
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+ | 0.0005 | 44.0 | 1672 | 0.0000 |
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+ | 0.0005 | 45.0 | 1710 | 0.0000 |
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+ | 0.0005 | 46.0 | 1748 | 0.0000 |
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+ | 0.0005 | 47.0 | 1786 | 0.0000 |
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+ | 0.0005 | 48.0 | 1824 | 0.0000 |
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+ | 0.0005 | 49.0 | 1862 | 0.0000 |
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+ | 0.0005 | 50.0 | 1900 | 0.0000 |
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  ### Framework versions