End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.04424778761061947
+      value: 0.05309734513274336
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,7 +33,7 @@ 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: nan
-- Accuracy: 0.0442
+- Accuracy: 0.0531
 
 ## Model description
 
@@ -61,25 +61,21 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | nan             | 0.0442   |
-| No log        | 1.87  | 7    | nan             | 0.0442   |
-| 241.2527      | 2.93  | 11   | nan             | 0.0442   |
-| 241.2527      | 4.0   | 15   | nan             | 0.0442   |
-| 241.2527      | 4.8   | 18   | nan             | 0.0442   |
-| 0.0           | 5.87  | 22   | nan             | 0.0442   |
-| 0.0           | 6.93  | 26   | nan             | 0.0442   |
-| 0.0           | 8.0   | 30   | nan             | 0.0442   |
+| No log        | 0.8   | 3    | nan             | 0.0531   |
+| No log        | 1.87  | 7    | nan             | 0.0531   |
+| 241.5783      | 2.93  | 11   | nan             | 0.0531   |
+| 241.5783      | 4.0   | 15   | nan             | 0.0531   |
 
 
 ### Framework versions
 
-- Transformers 4.35.0.dev0
+- Transformers 4.34.1
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.5
+- Datasets 2.14.6
 - Tokenizers 0.14.1