Upload README.md

README.md

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+---
+license: apache-2.0
+tags:
+- audio-classification
+- generated_from_trainer
+datasets:
+- superb
+metrics:
+- accuracy
+model-index:
+- name: hubert-base-ft-keyword-spotting
+  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. -->
+
+# hubert-base-ft-keyword-spotting
+
+This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the superb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0774
+- Accuracy: 0.9819
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 0
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0422        | 1.0   | 399  | 0.8999          | 0.6918   |
+| 0.3296        | 2.0   | 798  | 0.1505          | 0.9778   |
+| 0.2088        | 3.0   | 1197 | 0.0901          | 0.9816   |
+| 0.202         | 4.0   | 1596 | 0.0848          | 0.9813   |
+| 0.1535        | 5.0   | 1995 | 0.0774          | 0.9819   |
+
+
+### Framework versions
+
+- Transformers 4.12.0.dev0
+- Pytorch 1.9.1+cu111
+- Datasets 1.14.0
+- Tokenizers 0.10.3