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devkya
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ko-commands-classification

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
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  1. README.md +12 -12
  2. runs/May29_18-26-37_user-Z790-AORUS-ELITE-AX-ICE/events.out.tfevents.1716974797.user-Z790-AORUS-ELITE-AX-ICE.1384053.0 +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: 0.02654867256637168
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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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6830
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- - Accuracy: 0.0265
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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 | 2.6406 | 0.0531 |
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- | No log | 1.8667 | 7 | 2.6534 | 0.0619 |
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- | 2.6342 | 2.9333 | 11 | 2.6687 | 0.0619 |
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- | 2.6342 | 4.0 | 15 | 2.6758 | 0.0531 |
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- | 2.6342 | 4.8 | 18 | 2.6775 | 0.0442 |
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- | 2.6269 | 5.8667 | 22 | 2.6794 | 0.0354 |
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- | 2.6269 | 6.9333 | 26 | 2.6800 | 0.0354 |
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- | 2.6171 | 8.0 | 30 | 2.6830 | 0.0265 |
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  ### Framework versions
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- - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.05309734513274336
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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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6789
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+ - Accuracy: 0.0531
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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 | 2.6391 | 0.0531 |
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+ | No log | 1.8667 | 7 | 2.6607 | 0.0442 |
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+ | 2.6357 | 2.9333 | 11 | 2.6661 | 0.0354 |
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+ | 2.6357 | 4.0 | 15 | 2.6717 | 0.0531 |
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+ | 2.6357 | 4.8 | 18 | 2.6789 | 0.0531 |
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+ | 2.6309 | 5.8667 | 22 | 2.6795 | 0.0531 |
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+ | 2.6309 | 6.9333 | 26 | 2.6803 | 0.0531 |
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+ | 2.6186 | 8.0 | 30 | 2.6789 | 0.0531 |
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  ### Framework versions
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+ - Transformers 4.40.2
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
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