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--- |
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license: bsd-3-clause |
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base_model: MIT/ast-finetuned-speech-commands-v2 |
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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: v22-ast-finetuned-speech-commands-v2-poisoned |
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results: [] |
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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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# v22-ast-finetuned-speech-commands-v2-poisoned |
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This model is a fine-tuned version of [MIT/ast-finetuned-speech-commands-v2](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7070 |
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- Accuracy: 0.9211 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 22 |
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- eval_batch_size: 22 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 88 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 0.86 | 3 | 6.2619 | 0.0033 | |
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| No log | 2.0 | 7 | 2.3742 | 0.0724 | |
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| 5.5496 | 2.86 | 10 | 1.3532 | 0.4507 | |
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| 5.5496 | 4.0 | 14 | 0.7477 | 0.9079 | |
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| 5.5496 | 4.29 | 15 | 0.7070 | 0.9211 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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