End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- speech_commands
+metrics:
+- accuracy
+model-index:
+- name: whisper-tiny-finetuned-no-go-kws
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: Speech Commands[no, go]
+      type: speech_commands
+      config: v0.02
+      split: test
+      args: v0.02
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.990086741016109
+---
+
+<!-- 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. -->
+
+# whisper-tiny-finetuned-no-go-kws
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Speech Commands[no, go] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0842
+- Accuracy: 0.9901
+
+## 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: 8
+- eval_batch_size: 8
+- 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.33          | 1.0   | 780  | 0.0272          | 0.9938   |
+| 0.0002        | 2.0   | 1560 | 0.0420          | 0.9876   |
+| 0.0001        | 3.0   | 2340 | 0.0487          | 0.9913   |
+| 0.0011        | 4.0   | 3120 | 0.0789          | 0.9802   |
+| 0.0001        | 5.0   | 3900 | 0.0915          | 0.9851   |
+| 0.0014        | 6.0   | 4680 | 0.1017          | 0.9839   |
+| 0.0           | 7.0   | 5460 | 0.0993          | 0.9888   |
+| 0.0           | 8.0   | 6240 | 0.0694          | 0.9913   |
+| 0.0           | 9.0   | 7020 | 0.0760          | 0.9926   |
+| 0.0           | 10.0  | 7800 | 0.0842          | 0.9901   |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

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