update model card README.md

README.md

@@ -2,6 +2,11 @@
 license: mit
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: tmvar_0.0001_ES2
   results: []
@@ -12,7 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tmvar_0.0001_ES2
 
-This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0187
+- Precision: 0.8449
+- Recall: 0.8541
+- F1: 0.8495
+- Accuracy: 0.9961
 
 ## Model description
 
@@ -39,6 +50,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - training_steps: 1000
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2263        | 1.47  | 25   | 0.0788          | 0.0       | 0.0    | 0.0    | 0.9843   |
+| 0.0492        | 2.94  | 50   | 0.0355          | 0.2576    | 0.3676 | 0.3029 | 0.9863   |
+| 0.0258        | 4.41  | 75   | 0.0224          | 0.6       | 0.6811 | 0.6380 | 0.9933   |
+| 0.013         | 5.88  | 100  | 0.0141          | 0.8267    | 0.9027 | 0.8630 | 0.9969   |
+| 0.0031        | 7.35  | 125  | 0.0162          | 0.8218    | 0.8973 | 0.8579 | 0.9971   |
+| 0.0028        | 8.82  | 150  | 0.0187          | 0.8449    | 0.8541 | 0.8495 | 0.9961   |
+
+
 ### Framework versions
 
 - Transformers 4.27.4