End of training

README.md

@@ -21,11 +21,11 @@ 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: 0.1387
-- Accuracy: 1.0
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
+- Loss: 0.7039
+- Accuracy: 0.7694
+- Precision: 0.7689
+- Recall: 0.7694
+- F1: 0.7664
 
 ## Model description
 
@@ -48,21 +48,21 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
-| No log        | 1.0   | 140  | 0.5105          | 1.0      | 1.0       | 1.0    | 1.0 |
-| No log        | 2.0   | 280  | 0.1810          | 1.0      | 1.0       | 1.0    | 1.0 |
-| No log        | 3.0   | 420  | 0.1387          | 1.0      | 1.0       | 1.0    | 1.0 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.3946        | 1.0   | 609  | 0.9761          | 0.6868   | 0.7020    | 0.6868 | 0.6792 |
+| 0.8815        | 2.0   | 1218 | 0.7569          | 0.7546   | 0.7581    | 0.7546 | 0.7505 |
+| 0.6847        | 3.0   | 1827 | 0.7039          | 0.7694   | 0.7689    | 0.7694 | 0.7664 |
 
 
 ### Framework versions
 
-- Transformers 4.44.2
-- Pytorch 2.5.0+cu121
-- Tokenizers 0.19.1
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Tokenizers 0.20.3

training_args.bin

@@ -1,3 +1,3 @@
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-size 5176
+oid sha256:866319643ade77b92c6805d1acbc34811ebdccbec7021c7192cba666962e3f67
+size 5304