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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: whisper-tiny-ft-kws-speech-commands
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # whisper-tiny-ft-kws-speech-commands
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+
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Speech Commands dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0941
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+ - Accuracy: 0.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 2 | 1.1472 | 0.0 |
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+ | No log | 2.0 | 4 | 1.1814 | 0.0 |
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+ | 1.0759 | 3.0 | 6 | 1.1724 | 0.0 |
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+ | 1.0759 | 4.0 | 8 | 1.1701 | 0.0 |
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+ | 1.0034 | 5.0 | 10 | 1.1678 | 0.0 |
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+ | 1.0034 | 6.0 | 12 | 1.1081 | 0.0 |
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+ | 1.0034 | 7.0 | 14 | 1.1020 | 0.0 |
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+ | 0.9216 | 8.0 | 16 | 1.0900 | 0.0 |
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+ | 0.9216 | 9.0 | 18 | 1.0915 | 0.0 |
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+ | 0.8433 | 10.0 | 20 | 1.0941 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.2.2
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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