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: 1.3835
-- Accuracy: 0.4748
-- F1: 0.4280
-- Precision: 0.4147
-- Recall: 0.4748
+- Loss: 1.7622
+- Accuracy: 0.2302
+- F1: 0.0862
+- Precision: 0.0530
+- Recall: 0.2302
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.0003
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.8171        | 1.0   | 81   | 1.7710          | 0.2302   | 0.0862 | 0.0530    | 0.2302 |
-| 1.7264        | 2.0   | 162  | 1.6322          | 0.4101   | 0.2695 | 0.2007    | 0.4101 |
-| 1.5603        | 3.0   | 243  | 1.5425          | 0.3885   | 0.2544 | 0.1943    | 0.3885 |
-| 1.4237        | 4.0   | 324  | 1.5997          | 0.4317   | 0.3424 | 0.2883    | 0.4317 |
-| 1.2819        | 5.0   | 405  | 1.5824          | 0.4101   | 0.3260 | 0.2763    | 0.4101 |
-| 1.1493        | 6.0   | 486  | 1.4762          | 0.4460   | 0.3670 | 0.4151    | 0.4460 |
-| 1.0688        | 7.0   | 567  | 1.4088          | 0.4748   | 0.4279 | 0.4418    | 0.4748 |
-| 0.9746        | 8.0   | 648  | 1.4380          | 0.4604   | 0.3957 | 0.3835    | 0.4604 |
-| 0.9039        | 9.0   | 729  | 1.4078          | 0.4748   | 0.4278 | 0.4147    | 0.4748 |
-| 0.8577        | 10.0  | 810  | 1.3835          | 0.4748   | 0.4280 | 0.4147    | 0.4748 |
+| 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 |
 
 
 ### Framework versions

model.safetensors

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 size 470649364

runs/May25_20-13-21_54438e66731d/events.out.tfevents.1716668002.54438e66731d.17726.0

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training_args.bin

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 size 5112