lBober/my-model-MiniLM-Area

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/Microsoft/Multilingual-MiniLM-L12-H384) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7622
-- Accuracy: 0.2302
-- F1: 0.0862
-- Precision: 0.0530
-- Recall: 0.2302
+- Loss: 1.4662
+- Accuracy: 0.4676
+- F1: 0.3710
+- Precision: 0.3276
+- Recall: 0.4676
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
+- learning_rate: 3e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.7843        | 1.0   | 81   | 1.7387          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7541        | 2.0   | 162  | 1.7577          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7459        | 3.0   | 243  | 1.7765          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7533        | 4.0   | 324  | 1.7625          | 0.2230   | 0.0813 | 0.0497    | 0.2230 |
-| 1.7475        | 5.0   | 405  | 1.7588          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7423        | 6.0   | 486  | 1.7622          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7427        | 7.0   | 567  | 1.7667          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7394        | 8.0   | 648  | 1.7629          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7384        | 9.0   | 729  | 1.7652          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7367        | 10.0  | 810  | 1.7622          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
+| 1.8319        | 1.0   | 81   | 1.7972          | 0.2446   | 0.0961 | 0.0598    | 0.2446 |
+| 1.7578        | 2.0   | 162  | 1.7665          | 0.2446   | 0.0961 | 0.0598    | 0.2446 |
+| 1.7311        | 3.0   | 243  | 1.7140          | 0.3885   | 0.2579 | 0.1991    | 0.3885 |
+| 1.6502        | 4.0   | 324  | 1.6061          | 0.4173   | 0.2789 | 0.2142    | 0.4173 |
+| 1.551         | 5.0   | 405  | 1.5444          | 0.4029   | 0.2666 | 0.1999    | 0.4029 |
+| 1.4605        | 6.0   | 486  | 1.5607          | 0.4532   | 0.3470 | 0.2842    | 0.4532 |
+| 1.3818        | 7.0   | 567  | 1.5001          | 0.4604   | 0.3552 | 0.2913    | 0.4604 |
+| 1.3256        | 8.0   | 648  | 1.5020          | 0.4820   | 0.3847 | 0.3341    | 0.4820 |
+| 1.3104        | 9.0   | 729  | 1.4776          | 0.4604   | 0.3644 | 0.3218    | 0.4604 |
+| 1.2741        | 10.0  | 810  | 1.4662          | 0.4676   | 0.3710 | 0.3276    | 0.4676 |
 
 
 ### Framework versions

model.safetensors

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 size 470649364

runs/May25_20-17-52_54438e66731d/events.out.tfevents.1716668273.54438e66731d.19086.0

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training_args.bin

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