End of training

README.md

@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6737
+- Loss: 2.6653
 - Accuracy: 0.0354
 
 ## Model description
@@ -65,21 +65,21 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 2.6447          | 0.0531   |
-| No log        | 1.87  | 7    | 2.6453          | 0.0796   |
-| 2.6333        | 2.93  | 11   | 2.6589          | 0.0885   |
-| 2.6333        | 4.0   | 15   | 2.6665          | 0.0619   |
-| 2.6333        | 4.8   | 18   | 2.6712          | 0.0531   |
-| 2.6195        | 5.87  | 22   | 2.6739          | 0.0265   |
-| 2.6195        | 6.93  | 26   | 2.6731          | 0.0442   |
-| 2.6066        | 8.0   | 30   | 2.6737          | 0.0354   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.8    | 3    | 2.6453          | 0.0796   |
+| No log        | 1.8667 | 7    | 2.6504          | 0.0354   |
+| 2.6366        | 2.9333 | 11   | 2.6507          | 0.0531   |
+| 2.6366        | 4.0    | 15   | 2.6557          | 0.0531   |
+| 2.6366        | 4.8    | 18   | 2.6585          | 0.0619   |
+| 2.6276        | 5.8667 | 22   | 2.6633          | 0.0531   |
+| 2.6276        | 6.9333 | 26   | 2.6652          | 0.0442   |
+| 2.6164        | 8.0    | 30   | 2.6653          | 0.0354   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu118
 - Datasets 2.19.0
-- Tokenizers 0.15.2
+- Tokenizers 0.19.1