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

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: 0.1739
-- Accuracy Thresh: 0.9378
+- Loss: 0.1827
+- Accuracy Thresh: 0.9367
 
 ## Model description
 
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
 |:-------------:|:-----:|:----:|:---------------:|:---------------:|
-| No log        | 1.0   | 70   | 0.4061          | 0.7867          |
-| No log        | 2.0   | 140  | 0.3021          | 0.8908          |
-| No log        | 3.0   | 210  | 0.2387          | 0.9173          |
-| No log        | 4.0   | 280  | 0.2109          | 0.9276          |
-| No log        | 5.0   | 350  | 0.1957          | 0.9255          |
-| No log        | 6.0   | 420  | 0.1861          | 0.9327          |
-| No log        | 7.0   | 490  | 0.1828          | 0.9337          |
-| 0.2647        | 8.0   | 560  | 0.1794          | 0.9337          |
-| 0.2647        | 9.0   | 630  | 0.1743          | 0.9367          |
-| 0.2647        | 10.0  | 700  | 0.1739          | 0.9378          |
+| No log        | 1.0   | 70   | 0.4169          | 0.7908          |
+| No log        | 2.0   | 140  | 0.3130          | 0.8786          |
+| No log        | 3.0   | 210  | 0.2500          | 0.9163          |
+| No log        | 4.0   | 280  | 0.2243          | 0.9296          |
+| No log        | 5.0   | 350  | 0.2049          | 0.9255          |
+| No log        | 6.0   | 420  | 0.1941          | 0.9316          |
+| No log        | 7.0   | 490  | 0.1927          | 0.9316          |
+| 0.2725        | 8.0   | 560  | 0.1875          | 0.9357          |
+| 0.2725        | 9.0   | 630  | 0.1826          | 0.9367          |
+| 0.2725        | 10.0  | 700  | 0.1827          | 0.9367          |
 
 
 ### Framework versions

model.safetensors

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runs/Jan08_10-22-23_aift-review-classification-multiple-label/events.out.tfevents.1704709405.aift-review-classification-multiple-label

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runs/Jan08_10-27-56_aift-review-classification-multiple-label/events.out.tfevents.1704709694.aift-review-classification-multiple-label

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training_args.bin

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