Completed Extreme Recall Training

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5903
-- F1 At 10 Thresh: 0.7458
-- Recall: 0.9755
-- Precision: 0.6037
-- Trash Caught: 0.1505
+- Loss: 2.8377
+- F1 At 10 Thresh: 0.7490
+- Recall: 0.9871
+- Precision: 0.6035
+- Trash Caught: 0.1396
 
 ## Model description
 
@@ -54,9 +54,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1 At 10 Thresh | Recall | Precision | Trash Caught |
 |:-------------:|:-----:|:----:|:---------------:|:---------------:|:------:|:---------:|:------------:|
-| 0.1278        | 1.0   | 1569 | 1.9497          | 0.7399          | 0.9799 | 0.5943    | 0.1127       |
-| 0.088         | 2.0   | 3138 | 2.0562          | 0.7431          | 0.9655 | 0.6039    | 0.1601       |
-| 0.0619        | 3.0   | 4707 | 2.5903          | 0.7458          | 0.9755 | 0.6037    | 0.1505       |
+| 0.1651        | 1.0   | 1569 | 2.0216          | 0.7403          | 0.9908 | 0.5909    | 0.0900       |
+| 0.1066        | 2.0   | 3138 | 2.6117          | 0.7482          | 0.9906 | 0.6011    | 0.1279       |
+| 0.0671        | 3.0   | 4707 | 2.8377          | 0.7490          | 0.9871 | 0.6035    | 0.1396       |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:218e8be8ac6f62aec9cd5a24e848a01fe58f441fb2c576c97a68fbb9e8aeaefa
+oid sha256:eadcfdddb44f0f340410e4e05057847588428b3459f4fa1e16dd144fcdc2bd96
 size 567300568