update model card README.md

README.md

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+---
+license: bsd-3-clause
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- accuracy
+model-index:
+- name: ast-fleurs-langid-dropout-0.2-layers-6
+  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-fleurs-langid-dropout-0.2-layers-6
+
+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 fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.4304
+- Accuracy: 0.1802
+
+## 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: 16
+- 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_steps: 500
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0405        | 1.0   | 16987 | 6.6986          | 0.1722   |
+| 0.0002        | 2.0   | 33974 | 7.1284          | 0.1811   |
+| 0.0           | 3.0   | 50961 | 7.4304          | 0.1802   |
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1
+- Datasets 2.9.0
+- Tokenizers 0.13.2