update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: bsd-3-clause
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50
   results: []
@@ -14,13 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3787
-- eval_accuracy: 0.8929
-- eval_runtime: 6.2912
-- eval_samples_per_second: 8.901
-- eval_steps_per_second: 4.451
-- epoch: 1.0
-- step: 28
+- Loss: 0.3356
+- Accuracy: 0.9464
 
 ## Model description
 
@@ -50,6 +47,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 5
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0621        | 1.0   | 28   | 0.4656          | 0.875    |
+| 0.0694        | 2.0   | 56   | 0.3050          | 0.9107   |
+| 0.0157        | 3.0   | 84   | 0.3356          | 0.9464   |
+| 0.0038        | 4.0   | 112  | 0.3175          | 0.9286   |
+| 0.0011        | 5.0   | 140  | 0.2579          | 0.9286   |
+
+
 ### Framework versions
 
 - Transformers 4.26.0.dev0