End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: wav2vec2-audio-emotion-classification
   results: []
@@ -15,13 +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:
-- eval_loss: 1.7242
-- eval_accuracy: 0.3958
-- eval_runtime: 20.3868
-- eval_samples_per_second: 65.189
-- eval_steps_per_second: 2.06
-- epoch: 22.99
-- step: 960
+- Loss: 0.9518
+- Accuracy: 0.7398
 
 ## Model description
 
@@ -49,7 +46,19 @@ 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: 30
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.759         | 0.99  | 22   | 1.7087          | 0.3122   |
+| 1.5568        | 1.98  | 44   | 1.4412          | 0.4923   |
+| 1.2577        | 2.97  | 66   | 1.1467          | 0.7060   |
+| 1.0768        | 4.0   | 89   | 1.0131          | 0.7215   |
+| 0.9476        | 4.99  | 111  | 0.9633          | 0.7314   |
+| 0.9094        | 5.93  | 132  | 0.9518          | 0.7398   |
+
 
 ### Framework versions