fdastak/FoodEntity_Hybrid_Lora_unFreezing_v3

README.md

@@ -23,10 +23,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0061
-- Precision: 0.8181
-- Recall: 0.8526
-- F1: 0.8350
-- Accuracy: 0.9828
+- Precision: 0.8107
+- Recall: 0.8480
+- F1: 0.8289
+- Accuracy: 0.9824
 
 ## Model description
 
@@ -61,10 +61,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0213        | 1.0   | 117  | 0.0069          | 0.7413    | 0.8201 | 0.7787 | 0.9757   |
-| 0.0059        | 2.0   | 234  | 0.0059          | 0.8205    | 0.8327 | 0.8266 | 0.9824   |
-| 0.0039        | 3.0   | 351  | 0.0058          | 0.8179    | 0.8589 | 0.8379 | 0.9837   |
-| 0.0027        | 4.0   | 468  | 0.0061          | 0.8181    | 0.8526 | 0.8350 | 0.9828   |
+| 0.0213        | 1.0   | 117  | 0.0071          | 0.7390    | 0.8139 | 0.7746 | 0.9746   |
+| 0.006         | 2.0   | 234  | 0.0058          | 0.8149    | 0.8395 | 0.8270 | 0.9823   |
+| 0.004         | 3.0   | 351  | 0.0057          | 0.8154    | 0.8571 | 0.8357 | 0.9836   |
+| 0.0028        | 4.0   | 468  | 0.0061          | 0.8107    | 0.8480 | 0.8289 | 0.9824   |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cabd8588b0171b3e21db0a315f3adc98a2bdfad2bb8259cc40a272b43097d5ed
+oid sha256:d737a453d266a8f9f41a4a07d1f31ac9f62ddda707b9be1621b1e4a56dd90df3
 size 5322884