update model card README.md

README.md

@@ -4,6 +4,8 @@ tags:
 - generated_from_trainer
 datasets:
 - marsyas/gtzan
+metrics:
+- accuracy
 model-index:
 - name: distilhubert-finetuned-gtzan
   results: []
@@ -16,12 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MariaK/distilhubert-finetuned-gtzan-v2](https://huggingface.co/MariaK/distilhubert-finetuned-gtzan-v2) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.4883
-- eval_accuracy: 0.87
-- eval_runtime: 25.6473
-- eval_samples_per_second: 3.899
-- eval_steps_per_second: 0.507
-- step: 0
+- Loss: 0.4905
+- Accuracy: 0.89
 
 ## Model description
 
@@ -49,6 +47,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 0.01
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0742        | 0.02  | 2    | 0.4905          | 0.89     |
+
+
 ### Framework versions
 
 - Transformers 4.30.2