Model save

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4553
-- F1: 0.9691
-- Accuracy: 0.94
-- Precision: 0.94
-- Recall: 1.0
+- Loss: 0.5738
+- F1: 0.9637
+- Accuracy: 0.9300
+- Precision: 0.9302
+- Recall: 0.9997
 
 ## Model description
 
@@ -54,18 +54,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
-| 0.8405        | 0.001 | 1    | 0.3011          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.2944        | 0.002 | 2    | 0.2259          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.0869        | 0.003 | 3    | 0.2497          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.056         | 0.004 | 4    | 0.3000          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.0137        | 0.005 | 5    | 0.3494          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.0028        | 0.006 | 6    | 0.3885          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.0012        | 0.007 | 7    | 0.4171          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.0038        | 0.008 | 8    | 0.4370          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.0049        | 0.009 | 9    | 0.4496          | 0.9691 | 0.94     | 0.94      | 1.0    |
-| 0.0011        | 0.01  | 10   | 0.4553          | 0.9691 | 0.94     | 0.94      | 1.0    |
+| Training Loss | Epoch  | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
+|:-------------:|:------:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
+| 0.6498        | 0.0000 | 1    | 0.2875          | 0.9635 | 0.9295   | 0.9303    | 0.9991 |
+| 0.2169        | 0.0000 | 2    | 0.2707          | 0.9635 | 0.9295   | 0.9303    | 0.9991 |
+| 0.0354        | 0.0000 | 3    | 0.3281          | 0.9634 | 0.9294   | 0.9302    | 0.9991 |
+| 0.0225        | 0.0000 | 4    | 0.3941          | 0.9635 | 0.9295   | 0.9302    | 0.9992 |
+| 0.0021        | 0.0000 | 5    | 0.4481          | 0.9635 | 0.9295   | 0.9302    | 0.9992 |
+| 0.0207        | 0.0000 | 6    | 0.4928          | 0.9635 | 0.9296   | 0.9302    | 0.9993 |
+| 0.0131        | 0.0000 | 7    | 0.5282          | 0.9636 | 0.9298   | 0.9302    | 0.9995 |
+| 0.0017        | 0.0001 | 8    | 0.5525          | 0.9637 | 0.9300   | 0.9302    | 0.9997 |
+| 0.0002        | 0.0001 | 9    | 0.5672          | 0.9637 | 0.9300   | 0.9302    | 0.9997 |
+| 0.0003        | 0.0001 | 10   | 0.5738          | 0.9637 | 0.9300   | 0.9302    | 0.9997 |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Oct08_11-42-12_f1da90e0ef55/events.out.tfevents.1728387738.f1da90e0ef55.4879.1

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training_args.bin

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