update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: distil-ast-audioset-finetuned-gtzan-finetuned-gtzan
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# distil-ast-audioset-finetuned-gtzan-finetuned-gtzan
+
+This model is a fine-tuned version of [peterdamn/distil-ast-audioset-finetuned-gtzan](https://huggingface.co/peterdamn/distil-ast-audioset-finetuned-gtzan) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8269
+- Accuracy: 0.84
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2642        | 1.0   | 225  | 1.0594          | 0.8      |
+| 0.1655        | 2.0   | 450  | 0.9670          | 0.84     |
+| 0.0009        | 3.0   | 675  | 0.9774          | 0.79     |
+| 0.0093        | 4.0   | 900  | 0.9330          | 0.83     |
+| 0.0           | 5.0   | 1125 | 0.8269          | 0.84     |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.13.2