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sravan-gorugantu
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model2024-05-21

Audio Classification
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hubert
Generated from Trainer
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sravan-gorugantu commited on
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End of training

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Files changed (3) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/May21_09-34-34_voice-ai-transformer/events.out.tfevents.1716284074.voice-ai-transformer.2547933.2 +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9644063393089114
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [sravan-gorugantu/model2024-05-20](https://huggingface.co/sravan-gorugantu/model2024-05-20) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1111
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- - Accuracy: 0.9644
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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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- | 0.1357 | 1.0 | 481 | 0.1594 | 0.9478 |
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- | 0.1284 | 2.0 | 962 | 0.1486 | 0.9492 |
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- | 0.1231 | 3.0 | 1443 | 0.1359 | 0.9550 |
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- | 0.1155 | 4.0 | 1925 | 0.1161 | 0.9622 |
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- | 0.0944 | 5.0 | 2405 | 0.1111 | 0.9644 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9944099378881988
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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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  This model is a fine-tuned version of [sravan-gorugantu/model2024-05-20](https://huggingface.co/sravan-gorugantu/model2024-05-20) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0904
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+ - Accuracy: 0.9944
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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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+ | 0.6962 | 0.94 | 12 | 0.4940 | 0.9652 |
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+ | 0.452 | 1.96 | 25 | 0.2294 | 0.9901 |
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+ | 0.2681 | 2.98 | 38 | 0.1292 | 0.9932 |
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+ | 0.1245 | 4.0 | 51 | 0.0975 | 0.9938 |
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+ | 0.1112 | 4.71 | 60 | 0.0904 | 0.9944 |
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  ### Framework versions
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