Ezhilraj69999
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Model save
Browse files- README.md +14 -10
- model.safetensors +1 -1
README.md
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@@ -3,7 +3,6 @@ library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- audio-classification
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -17,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-base-wakeword
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the
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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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- 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:
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- mixed_precision_training: Native AMP
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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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### Framework versions
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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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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# wav2vec2-base-wakeword
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2259
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- Accuracy: 0.8689
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## Model description
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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: 10.0
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- mixed_precision_training: Native AMP
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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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| 0.5835 | 0.9832 | 44 | 0.4825 | 0.8305 |
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| 0.3198 | 1.9888 | 89 | 0.3220 | 0.8681 |
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| 0.2074 | 2.9944 | 134 | 0.2879 | 0.8571 |
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| 0.164 | 4.0 | 179 | 0.2867 | 0.8454 |
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| 0.1524 | 4.9832 | 223 | 0.2757 | 0.8414 |
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| 0.1529 | 5.9888 | 268 | 0.3233 | 0.8273 |
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| 0.1256 | 6.9944 | 313 | 0.2192 | 0.8666 |
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| 0.1169 | 8.0 | 358 | 0.1988 | 0.8980 |
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| 0.1128 | 8.9832 | 402 | 0.2188 | 0.8713 |
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| 0.1252 | 9.8324 | 440 | 0.2259 | 0.8689 |
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### Framework versions
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model.safetensors
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