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/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Accuracy: 0.7297
+- Loss: 0.0547
+- Accuracy: 0.9861
 
 ## Model description
 
@@ -44,19 +44,16 @@ 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: 50
-- training_steps: 6000
+- training_steps: 3000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0625        | 0.0527 | 1000 | 0.0503          | 0.9897   |
-| 0.0757        | 0.1053 | 2000 | 0.0616          | 0.9897   |
-| 0.0231        | 0.1580 | 3000 | 0.0574          | 0.9913   |
-| 0.0439        | 0.2107 | 4000 | nan             | 0.7342   |
-| 0.0           | 0.2633 | 5000 | nan             | 0.7297   |
-| 0.0           | 0.3160 | 6000 | nan             | 0.7297   |
+| 0.0553        | 0.0527 | 1000 | 0.0683          | 0.9845   |
+| 0.0548        | 0.1053 | 2000 | 0.0709          | 0.9842   |
+| 0.0237        | 0.1580 | 3000 | 0.0547          | 0.9861   |
 
 
 ### Framework versions