End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nlpie/bio-mobilebert](https://huggingface.co/nlpie/bio-mobilebert) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1386
-- Accuracy: 0.725
+- Loss: 1.0324
+- Accuracy: 0.742
 
 ## Model description
 
@@ -49,15 +49,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.3121 | 250  | 0.9290          | 0.688    |
-| 15.5822       | 0.6242 | 500  | 0.7661          | 0.705    |
-| 15.5822       | 0.9363 | 750  | 0.7196          | 0.716    |
-| 0.7769        | 1.2484 | 1000 | 0.7334          | 0.723    |
-| 0.7769        | 1.5605 | 1250 | 0.8512          | 0.724    |
-| 0.7019        | 1.8727 | 1500 | 0.7588          | 0.729    |
-| 0.7019        | 2.1848 | 1750 | 1.0347          | 0.735    |
-| 0.5534        | 2.4969 | 2000 | 1.0642          | 0.731    |
-| 0.5534        | 2.8090 | 2250 | 1.1386          | 0.725    |
+| No log        | 0.3121 | 250  | 0.8727          | 0.727    |
+| 35.354        | 0.6242 | 500  | 0.7830          | 0.738    |
+| 35.354        | 0.9363 | 750  | 0.7660          | 0.745    |
+| 0.8233        | 1.2484 | 1000 | 0.9794          | 0.744    |
+| 0.8233        | 1.5605 | 1250 | 0.8635          | 0.746    |
+| 0.7285        | 1.8727 | 1500 | 0.6671          | 0.747    |
+| 0.7285        | 2.1848 | 1750 | 1.0348          | 0.758    |
+| 0.5734        | 2.4969 | 2000 | 1.0761          | 0.747    |
+| 0.5734        | 2.8090 | 2250 | 1.0324          | 0.742    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41616c46406782804bf1f606be11fcd0f5504bba18c96180aee2eb9ea2fb407b
+oid sha256:84998a58e8501ca0c2ed06acab4346659512bed8c55bc54a8ae03fea65ff67e2
 size 98468060