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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5983
-- Accuracy: 0.2448
+- Loss: 1.5895
+- Accuracy: 0.2604
 
 ## Model description
 
@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 6    | 1.6071          | 0.2240   |
-| 1.6057        | 2.0   | 12   | 1.6032          | 0.1979   |
-| 1.6057        | 3.0   | 18   | 1.5983          | 0.2448   |
+| No log        | 1.0   | 6    | 1.6021          | 0.2448   |
+| 1.5912        | 2.0   | 12   | 1.5906          | 0.2760   |
+| 1.5912        | 3.0   | 18   | 1.5895          | 0.2604   |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
 - Datasets 2.14.5
 - Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:2ce6ed9cef38b71a1ca5d1a64b617745d7f36d9f8d5f096cd5686d804ec18e68
 size 378354022