update model card README.md

README.md

@@ -19,8 +19,8 @@ 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 /workspace/datasets/datasets/MIR_ST500/MIR_ST500_AUDIO_CLASSIFICATION.py dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1219
-- Accuracy: 0.5817
+- Loss: 0.8678
+- Accuracy: 0.7017
 
 ## Model description
 
@@ -51,14 +51,18 @@ 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: 1.0
+- num_epochs: 5.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1779        | 1.0   | 1304 | 1.1219          | 0.5817   |
+| 1.1999        | 1.0   | 1304 | 1.1029          | 0.5877   |
+| 1.0779        | 2.0   | 2608 | 0.9455          | 0.6555   |
+| 0.9775        | 3.0   | 3912 | 0.9670          | 0.6523   |
+| 0.9542        | 4.0   | 5216 | 0.8810          | 0.6946   |
+| 0.9403        | 5.0   | 6520 | 0.8678          | 0.7017   |
 
 
 ### Framework versions