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Zarakun
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wav2vec

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
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zarakun/wav2vec

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Files changed (5) hide show
  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Nov24_17-13-25_59691a5c0a0a/events.out.tfevents.1732468406.59691a5c0a0a.30.0 +3 -0
  4. runs/Nov24_17-13-25_59691a5c0a0a/events.out.tfevents.1732469966.59691a5c0a0a.30.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -24,10 +24,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8922427783187277
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  - name: F1
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  type: f1
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- value: 0.8725152235162986
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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
@@ -37,9 +37,9 @@ 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 speech_commands dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5378
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- - Accuracy: 0.8922
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- - F1: 0.8725
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6513 | 1.0 | 639 | 0.7527 | 0.8906 | 0.8844 |
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- | 0.3916 | 2.0 | 1278 | 0.5756 | 0.8900 | 0.8529 |
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- | 0.2746 | 3.0 | 1917 | 0.5378 | 0.8922 | 0.8725 |
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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: 0.8938656280428432
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  - name: F1
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  type: f1
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+ value: 0.8871854520046679
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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 speech_commands dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4992
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+ - Accuracy: 0.8939
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+ - F1: 0.8872
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6895 | 1.0 | 639 | 0.7875 | 0.8773 | 0.7995 |
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+ | 0.4171 | 2.0 | 1278 | 0.5445 | 0.8932 | 0.8675 |
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+ | 0.2706 | 3.0 | 1917 | 0.4992 | 0.8939 | 0.8872 |
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  ### Framework versions
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