End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0068
-- Wer Score: 31.5402
+- Loss: 0.0621
+- Wer Score: 4.7174
 
 ## Model description
 
@@ -51,22 +51,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Score |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|
-| No log        | 1.21  | 20   | 0.0096          | 46.8391   |
-| No log        | 2.42  | 40   | 0.0088          | 30.3793   |
-| No log        | 3.64  | 60   | 0.0071          | 29.5632   |
-| No log        | 4.85  | 80   | 0.0065          | 34.3793   |
-| No log        | 6.06  | 100  | 0.0067          | 32.4138   |
-| No log        | 7.27  | 120  | 0.0072          | 32.4713   |
-| No log        | 8.48  | 140  | 0.0066          | 28.5977   |
-| No log        | 9.7   | 160  | 0.0068          | 27.2529   |
-| No log        | 10.91 | 180  | 0.0063          | 25.2414   |
-| No log        | 12.12 | 200  | 0.0061          | 35.0575   |
-| No log        | 13.33 | 220  | 0.0065          | 29.9770   |
-| No log        | 14.55 | 240  | 0.0068          | 31.1609   |
-| No log        | 15.76 | 260  | 0.0067          | 28.7356   |
-| No log        | 16.97 | 280  | 0.0068          | 30.9310   |
-| No log        | 18.18 | 300  | 0.0068          | 31.4943   |
-| No log        | 19.39 | 320  | 0.0068          | 31.5402   |
+| No log        | 1.48  | 20   | 7.3896          | 132.1522  |
+| No log        | 2.96  | 40   | 5.5234          | 1.1413    |
+| No log        | 4.44  | 60   | 3.7317          | 1.1196    |
+| No log        | 5.93  | 80   | 2.1477          | 1.1304    |
+| No log        | 7.41  | 100  | 0.9848          | 1.1087    |
+| No log        | 8.89  | 120  | 0.3860          | 1.1304    |
+| No log        | 10.37 | 140  | 0.1720          | 1.1087    |
+| No log        | 11.85 | 160  | 0.1022          | 1.1196    |
+| No log        | 13.33 | 180  | 0.0745          | 1.0543    |
+| No log        | 14.81 | 200  | 0.0665          | 2.9239    |
+| No log        | 16.3  | 220  | 0.0631          | 2.7174    |
+| No log        | 17.78 | 240  | 0.0622          | 2.5326    |
+| No log        | 19.26 | 260  | 0.0621          | 4.7174    |
 
 
 ### Framework versions