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medicine-ner

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update model card README.md

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@@ -33,7 +33,7 @@ model-index:
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  value: 0.0
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  - name: Accuracy
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  type: accuracy
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- value: 0.9
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,11 +43,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the jxner dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5562
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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- - Accuracy: 0.9
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  ## Model description
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@@ -72,32 +72,14 @@ 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: 20
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 1 | 1.7398 | 0.0370 | 0.125 | 0.0571 | 0.65 |
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- | No log | 2.0 | 2 | 1.5750 | 0.0 | 0.0 | 0.0 | 0.86 |
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- | No log | 3.0 | 3 | 1.4146 | 0.0 | 0.0 | 0.0 | 0.88 |
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- | No log | 4.0 | 4 | 1.2611 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 5.0 | 5 | 1.1173 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 6.0 | 6 | 0.9869 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 7.0 | 7 | 0.8737 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 8.0 | 8 | 0.7804 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 9.0 | 9 | 0.7074 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 10.0 | 10 | 0.6545 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 11.0 | 11 | 0.6181 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 12.0 | 12 | 0.5938 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 13.0 | 13 | 0.5780 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 14.0 | 14 | 0.5682 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 15.0 | 15 | 0.5623 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 16.0 | 16 | 0.5589 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 17.0 | 17 | 0.5571 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 18.0 | 18 | 0.5563 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 19.0 | 19 | 0.5562 | 0.0 | 0.0 | 0.0 | 0.9 |
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- | No log | 20.0 | 20 | 0.5562 | 0.0 | 0.0 | 0.0 | 0.9 |
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  ### Framework versions
 
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  value: 0.0
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  - name: Accuracy
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  type: accuracy
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+ value: 0.859375
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the jxner dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7996
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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+ - Accuracy: 0.8594
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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: 2
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | No log | 1.0 | 1 | 0.8644 | 0.0 | 0.0 | 0.0 | 0.8594 |
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+ | No log | 2.0 | 2 | 0.7996 | 0.0 | 0.0 | 0.0 | 0.8594 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions