End of training
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README.md
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metrics:
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- accuracy
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model-index:
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- name: whisper-tiny-
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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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# whisper-tiny-
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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:
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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- Transformers 4.
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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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metrics:
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- accuracy
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model-index:
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- name: whisper-tiny-70-files
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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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# whisper-tiny-70-files
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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: 0.4202
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- Accuracy: 0.8571
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.1433 | 1.0 | 28 | 1.0751 | 0.2857 |
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| 1.0581 | 2.0 | 56 | 0.9757 | 0.5714 |
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| 0.7216 | 3.0 | 84 | 0.7070 | 0.5714 |
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| 0.6422 | 4.0 | 112 | 0.6288 | 0.8571 |
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| 0.395 | 5.0 | 140 | 0.5260 | 0.8571 |
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| 0.1961 | 6.0 | 168 | 0.3009 | 1.0 |
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| 0.2295 | 7.0 | 196 | 0.4961 | 0.8571 |
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| 0.1916 | 8.0 | 224 | 0.4109 | 0.8571 |
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| 0.1889 | 9.0 | 252 | 0.4259 | 0.8571 |
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| 0.1485 | 10.0 | 280 | 0.4202 | 0.8571 |
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### Framework versions
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- Transformers 4.48.0.dev0
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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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model.safetensors
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runs/Jan01_23-36-12_jpasumarthy-mnb-C02FQ30YMD6R/events.out.tfevents.1735754776.jpasumarthy-mnb-C02FQ30YMD6R
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