update model card README.md

README.md

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+---
+license: bsd-3-clause
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- f1
+model-index:
+- name: ast-finetuned-audioset-10-10-0.4593-finetuned-AST
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: Data_Train
+      split: train
+      args: Data_Train
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.9263904420024879
+---
+
+<!-- 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. -->
+
+# ast-finetuned-audioset-10-10-0.4593-finetuned-AST
+
+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 audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5280
+- F1: 0.9264
+
+## 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: 3e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.875         | 1.0   | 688  | 0.5758          | 0.8268 |
+| 1.1367        | 2.0   | 1376 | 0.5628          | 0.8709 |
+| 0.0831        | 3.0   | 2064 | 0.5236          | 0.8933 |
+| 0.0964        | 4.0   | 2752 | 0.4338          | 0.9204 |
+| 0.001         | 5.0   | 3440 | 0.5198          | 0.9174 |
+| 0.0001        | 6.0   | 4128 | 0.5625          | 0.9150 |
+| 0.0           | 7.0   | 4816 | 0.5280          | 0.9264 |
+| 0.0           | 8.0   | 5504 | 0.5261          | 0.9221 |
+| 0.0           | 9.0   | 6192 | 0.5256          | 0.9206 |
+| 0.0           | 10.0  | 6880 | 0.5271          | 0.9193 |
+
+
+### Framework versions
+
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3