Cielciel/aift-model-review-multiple-label-classification_new

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1205
-- Accuracy Thresh: 0.9375
+- Loss: 3.6138
+- Accuracy Thresh: 0.9404
 
 ## Model description
 
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
 |:-------------:|:-----:|:----:|:---------------:|:---------------:|
-| 1.695         | 1.0   | 845  | 0.8376          | 0.8418          |
-| 0.7598        | 2.0   | 1690 | 0.7916          | 0.8924          |
-| 0.5826        | 3.0   | 2535 | 1.0440          | 0.9126          |
-| 0.4576        | 4.0   | 3380 | 1.0830          | 0.9183          |
-| 0.349         | 5.0   | 4225 | 1.3902          | 0.9267          |
-| 0.2715        | 6.0   | 5070 | 1.7734          | 0.9334          |
-| 0.2481        | 7.0   | 5915 | 1.8575          | 0.9352          |
-| 0.1899        | 8.0   | 6760 | 1.8420          | 0.9355          |
-| 0.1741        | 9.0   | 7605 | 2.1318          | 0.9378          |
-| 0.1633        | 10.0  | 8450 | 2.1205          | 0.9375          |
+| 0.2497        | 1.0   | 845  | 2.3781          | 0.9358          |
+| 0.253         | 2.0   | 1690 | 2.4414          | 0.9311          |
+| 0.2419        | 3.0   | 2535 | 3.1739          | 0.9374          |
+| 0.1993        | 4.0   | 3380 | 2.9218          | 0.9409          |
+| 0.158         | 5.0   | 4225 | 3.5374          | 0.9395          |
+| 0.142         | 6.0   | 5070 | 3.8794          | 0.9398          |
+| 0.1521        | 7.0   | 5915 | 3.7040          | 0.9399          |
+| 0.1409        | 8.0   | 6760 | 3.5779          | 0.9401          |
+| 0.1336        | 9.0   | 7605 | 3.7745          | 0.9413          |
+| 0.1144        | 10.0  | 8450 | 3.6138          | 0.9404          |
 
 
 ### Framework versions

model.safetensors

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models-new/model.safetensors

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runs/Jan28_17-56-26_aift-review-classification-multiple-label/events.out.tfevents.1706465282.aift-review-classification-multiple-label.3221508.1

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runs/Jan28_17-56-26_aift-review-classification-multiple-label/events.out.tfevents.1706494055.aift-review-classification-multiple-label.3221508.2

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