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ayameRushia
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audio_classification

Audio Classification
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
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ayameRushia commited on
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model-test-v1

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Files changed (3) hide show
  1. README.md +12 -23
  2. model.safetensors +1 -1
  3. runs/Feb02_10-05-09_78dd0ea6363c/events.out.tfevents.1706868310.78dd0ea6363c.377.0 +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: 0.07964601769911504
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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: 2.6548
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- - Accuracy: 0.0796
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 64
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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
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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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- | No log | 0.97 | 7 | 2.6390 | 0.0354 |
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- | 2.6396 | 1.93 | 14 | 2.6548 | 0.0796 |
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- | 2.6336 | 2.9 | 21 | 2.6535 | 0.0265 |
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- | 2.6336 | 4.0 | 29 | 2.6682 | 0.0354 |
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- | 2.6235 | 4.97 | 36 | 2.6785 | 0.0442 |
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- | 2.6126 | 5.93 | 43 | 2.6889 | 0.0354 |
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- | 2.6126 | 6.9 | 50 | 2.6868 | 0.0177 |
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- | 2.6126 | 8.0 | 58 | 2.6888 | 0.0177 |
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- | 2.6085 | 8.97 | 65 | 2.6882 | 0.0265 |
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- | 2.6086 | 9.66 | 70 | 2.6887 | 0.0354 |
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  ### Framework versions
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- - Transformers 4.33.1
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- - Pytorch 2.0.1+cu118
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- - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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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
 
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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: 2.6431
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+ - Accuracy: 0.0885
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 42
 
 
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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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+ - num_epochs: 2
 
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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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+ | No log | 1.0 | 15 | 2.6414 | 0.0708 |
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+ | No log | 2.0 | 30 | 2.6431 | 0.0885 |
 
 
 
 
 
 
 
 
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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 0.15.1
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