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Audio Classification
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Safetensors
wav2vec2
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Dec14_19-50-46_07b73fb3edf5/events.out.tfevents.1702583447.07b73fb3edf5.429.1 +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: 0.08849557522123894
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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: 2.6476
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- - Accuracy: 0.0885
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  ## Model description
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@@ -67,19 +67,19 @@ 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 | 2.6422 | 0.0531 |
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- | No log | 1.87 | 7 | 2.6392 | 0.0973 |
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- | 2.6355 | 2.93 | 11 | 2.6429 | 0.1062 |
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- | 2.6355 | 4.0 | 15 | 2.6441 | 0.0973 |
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- | 2.6355 | 4.8 | 18 | 2.6458 | 0.0796 |
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- | 2.6258 | 5.87 | 22 | 2.6465 | 0.0796 |
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- | 2.6258 | 6.93 | 26 | 2.6463 | 0.0973 |
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- | 2.6198 | 8.0 | 30 | 2.6476 | 0.0885 |
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  ### Framework versions
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  - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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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: 2.6640
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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 | 2.6396 | 0.0531 |
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+ | No log | 1.87 | 7 | 2.6525 | 0.0531 |
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+ | 2.6307 | 2.93 | 11 | 2.6565 | 0.0442 |
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+ | 2.6307 | 4.0 | 15 | 2.6569 | 0.0442 |
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+ | 2.6307 | 4.8 | 18 | 2.6578 | 0.0619 |
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+ | 2.62 | 5.87 | 22 | 2.6633 | 0.0531 |
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+ | 2.62 | 6.93 | 26 | 2.6642 | 0.0442 |
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+ | 2.6099 | 8.0 | 30 | 2.6640 | 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 2.15.0
85
  - Tokenizers 0.15.0
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