update model card README.md

README.md

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+---
+license: bsd-3-clause
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ast-finetuned-ICBHI
+  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. -->
+
+# ast-finetuned-ICBHI
+
+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:
+- Loss: 1.0818
+- Accuracy: 0.7087
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0435        | 1.0   | 345  | 0.9654          | 0.6232   |
+| 0.8307        | 2.0   | 690  | 0.8455          | 0.6783   |
+| 0.5268        | 3.0   | 1035 | 0.8861          | 0.6928   |
+| 0.2818        | 4.0   | 1380 | 1.0818          | 0.7087   |
+| 0.0353        | 5.0   | 1725 | 1.3766          | 0.7029   |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3