mdeputy/output

README.md

@@ -18,11 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2780
-- F1: 0.0
-- Precision: 0.0
-- Recall: 0.0
-- Accuracy: 0.0
+- Loss: 1.1644
+- F1: 0.4231
+- Precision: 0.4615
+- Recall: 0.5385
+- Accuracy: 0.5385
+- Mcc: 0.3143
+- Auc: 0.3242
 
 ## Model description
 
@@ -52,9 +54,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1  | Precision | Recall | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---:|:---------:|:------:|:--------:|
-| No log        | 1.0   | 12   | 1.2780          | 0.0 | 0.0       | 0.0    | 0.0      |
+| Training Loss | Epoch | Step | Validation Loss | F1     | Precision | Recall | Accuracy | Mcc    | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|:------:|:------:|
+| No log        | 1.0   | 12   | 1.1644          | 0.4231 | 0.4615    | 0.5385 | 0.5385   | 0.3143 | 0.3242 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:91ab340c9c2230c29898ba76ff850eadfd3a33d08977611575afb68439d0ee9d
+oid sha256:69a86c90c9910eea42fb1fbd2b369011714441795b4e305982547cdf94e80b62
 size 127944324