End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.05309734513274336
+      value: 0.07079646017699115
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 2.6547
-- Accuracy: 0.0531
+- Loss: 2.6587
+- Accuracy: 0.0708
 
 ## Model description
 
@@ -68,21 +68,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 2.6432          | 0.0619   |
-| No log        | 1.8   | 6    | 2.6425          | 0.0442   |
-| No log        | 2.8   | 9    | 2.6435          | 0.0531   |
-| 3.0271        | 3.8   | 12   | 2.6428          | 0.0531   |
-| 3.0271        | 4.8   | 15   | 2.6446          | 0.0531   |
-| 3.0271        | 5.8   | 18   | 2.6475          | 0.0531   |
-| 3.0086        | 6.8   | 21   | 2.6507          | 0.0531   |
-| 3.0086        | 7.8   | 24   | 2.6537          | 0.0531   |
-| 3.0086        | 8.8   | 27   | 2.6549          | 0.0531   |
-| 3.0005        | 9.8   | 30   | 2.6547          | 0.0531   |
+| No log        | 0.8   | 3    | 2.6374          | 0.0973   |
+| No log        | 1.8   | 6    | 2.6441          | 0.0885   |
+| No log        | 2.8   | 9    | 2.6481          | 0.0619   |
+| 3.0297        | 3.8   | 12   | 2.6476          | 0.0708   |
+| 3.0297        | 4.8   | 15   | 2.6493          | 0.0619   |
+| 3.0297        | 5.8   | 18   | 2.6499          | 0.0619   |
+| 3.0094        | 6.8   | 21   | 2.6525          | 0.0619   |
+| 3.0094        | 7.8   | 24   | 2.6549          | 0.0796   |
+| 3.0094        | 8.8   | 27   | 2.6575          | 0.0796   |
+| 3.0058        | 9.8   | 30   | 2.6587          | 0.0708   |
 
 
 ### Framework versions
 
 - Transformers 4.47.0
-- Pytorch 2.5.1
-- Datasets 3.1.0
+- Pytorch 2.5.1+cu124
+- Datasets 2.21.0
 - Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b6efa62399777598d7c4438fbf5c24709665b24c7460954219d0b761db273a25
 size 378314704