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End of training

Browse files
README.md CHANGED
@@ -7,19 +7,19 @@ tags:
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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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  <!-- 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-ft-kws-speech-commands
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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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  ## Model description
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@@ -51,21 +51,21 @@ The following hyperparameters were used during training:
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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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  ### Framework versions
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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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  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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