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: AudioClassification
   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 the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: nan
-- eval_accuracy: 1.0
-- eval_runtime: 124.5015
-- eval_samples_per_second: 2.892
-- eval_steps_per_second: 0.096
-- epoch: 0.98
-- step: 11
+- Loss: 5.3456
+- Accuracy: 0.0
 
 ## Model description
 
@@ -49,7 +46,18 @@ 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: 10
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 5.923         | 0.94  | 12   | 5.9648          | 0.0      |
+| 5.6846        | 1.96  | 25   | 5.6787          | 0.0      |
+| 5.4614        | 2.98  | 38   | 5.4862          | 0.0      |
+| 5.1691        | 4.0   | 51   | 5.3746          | 0.0      |
+| 5.1066        | 4.71  | 60   | 5.3456          | 0.0      |
+
 
 ### Framework versions
 

config.json

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   "layer_norm_eps": 1e-05,

pytorch_model.bin

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training_args.bin

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