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Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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aihimanshu commited on
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Jan02_05-11-40_b68392a32ebc/events.out.tfevents.1704173969.b68392a32ebc.265.9 +2 -2
  4. runs/Jan02_05-11-40_b68392a32ebc/events.out.tfevents.1704174146.b68392a32ebc.265.10 +3 -0
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6539
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- - Accuracy: 0.0619
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  ## Model description
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@@ -52,19 +52,19 @@ 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 | 0.8 | 3 | 2.6539 | 0.0619 |
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- | No log | 1.87 | 7 | 2.6591 | 0.0619 |
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- | 2.6179 | 2.93 | 11 | 2.6663 | 0.0265 |
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- | 2.6179 | 4.0 | 15 | 2.6725 | 0.0265 |
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- | 2.6179 | 4.8 | 18 | 2.6711 | 0.0442 |
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- | 2.5947 | 5.87 | 22 | 2.6687 | 0.0442 |
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- | 2.5947 | 6.93 | 26 | 2.6694 | 0.0442 |
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- | 2.5851 | 8.0 | 30 | 2.6688 | 0.0531 |
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.16.0
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  - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6599
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+ - Accuracy: 0.0708
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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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+ | No log | 0.8 | 3 | 2.6602 | 0.0531 |
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+ | No log | 1.87 | 7 | 2.6599 | 0.0708 |
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+ | 2.5691 | 2.93 | 11 | 2.6508 | 0.0619 |
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+ | 2.5691 | 4.0 | 15 | 2.6602 | 0.0531 |
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+ | 2.5691 | 4.8 | 18 | 2.6644 | 0.0619 |
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+ | 2.5488 | 5.87 | 22 | 2.6599 | 0.0619 |
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+ | 2.5488 | 6.93 | 26 | 2.6591 | 0.0708 |
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+ | 2.5227 | 8.0 | 30 | 2.6616 | 0.0708 |
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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  - Tokenizers 0.15.0
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