Valence Only Train

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: 0.6840
-- Accuracy: 0.7324
+- Loss: 1.1044
+- Accuracy: 0.6761
 
 ## Model description
 
@@ -46,23 +46,28 @@ 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_steps: 1000
-- num_epochs: 10
+- num_epochs: 15
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6966        | 1.0   | 269  | 0.6975          | 0.4366   |
-| 0.6903        | 2.0   | 538  | 0.6907          | 0.5915   |
-| 0.6738        | 3.0   | 807  | 0.6904          | 0.5634   |
-| 0.6383        | 4.0   | 1076 | 0.6504          | 0.5493   |
-| 0.5737        | 5.0   | 1345 | 0.6257          | 0.6901   |
-| 0.522         | 6.0   | 1614 | 0.6094          | 0.7042   |
-| 0.5022        | 7.0   | 1883 | 0.6444          | 0.7183   |
-| 0.4832        | 8.0   | 2152 | 0.6958          | 0.7042   |
-| 0.4683        | 9.0   | 2421 | 0.6627          | 0.7465   |
-| 0.4548        | 10.0  | 2690 | 0.6840          | 0.7324   |
+| 0.6979        | 1.0   | 269  | 0.6842          | 0.5915   |
+| 0.69          | 2.0   | 538  | 0.6864          | 0.5775   |
+| 0.6714        | 3.0   | 807  | 0.6900          | 0.5070   |
+| 0.6357        | 4.0   | 1076 | 0.6514          | 0.5775   |
+| 0.5678        | 5.0   | 1345 | 0.6612          | 0.6197   |
+| 0.5152        | 6.0   | 1614 | 0.6496          | 0.6761   |
+| 0.4826        | 7.0   | 1883 | 0.7743          | 0.6479   |
+| 0.4707        | 8.0   | 2152 | 0.8348          | 0.6620   |
+| 0.4742        | 9.0   | 2421 | 0.8808          | 0.6761   |
+| 0.4857        | 10.0  | 2690 | 0.8734          | 0.7324   |
+| 0.4779        | 11.0  | 2959 | 1.0206          | 0.6620   |
+| 0.5063        | 12.0  | 3228 | 1.0737          | 0.6761   |
+| 0.4776        | 13.0  | 3497 | 1.0966          | 0.6761   |
+| 0.4716        | 14.0  | 3766 | 1.1046          | 0.6761   |
+| 0.4672        | 15.0  | 4035 | 1.1044          | 0.6761   |
 
 
 ### Framework versions

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runs/Feb07_10-30-11_9bea037ab619/events.out.tfevents.1707302062.9bea037ab619.513.0

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trainer_state.json

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