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english-audio-classification

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
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End of training

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Files changed (3) hide show
  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Nov20_13-25-26_b00647e325b0/events.out.tfevents.1700486731.b00647e325b0.6008.0 +2 -2
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
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  datasets:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.04424778761061947
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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
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # english-audio-classification
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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: 2.6460
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- - Accuracy: 0.0442
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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 | 2.6360 | 0.0885 |
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- | No log | 1.87 | 7 | 2.6392 | 0.0796 |
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- | 2.634 | 2.93 | 11 | 2.6416 | 0.0619 |
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- | 2.634 | 4.0 | 15 | 2.6414 | 0.0619 |
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- | 2.634 | 4.8 | 18 | 2.6434 | 0.0796 |
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- | 2.6241 | 5.87 | 22 | 2.6447 | 0.0442 |
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- | 2.6241 | 6.93 | 26 | 2.6447 | 0.0531 |
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- | 2.6153 | 8.0 | 30 | 2.6460 | 0.0442 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-large-robust-ft-swbd-300h
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.07079646017699115
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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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  # english-audio-classification
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-robust-ft-swbd-300h](https://huggingface.co/facebook/wav2vec2-large-robust-ft-swbd-300h) on the minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6502
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+ - Accuracy: 0.0708
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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 | 2.6392 | 0.0531 |
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+ | No log | 1.87 | 7 | 2.6433 | 0.0708 |
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+ | 2.6404 | 2.93 | 11 | 2.6447 | 0.0885 |
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+ | 2.6404 | 4.0 | 15 | 2.6464 | 0.0708 |
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+ | 2.6404 | 4.8 | 18 | 2.6476 | 0.0708 |
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+ | 2.6339 | 5.87 | 22 | 2.6490 | 0.0708 |
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+ | 2.6339 | 6.93 | 26 | 2.6500 | 0.0708 |
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+ | 2.6336 | 8.0 | 30 | 2.6502 | 0.0708 |
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  ### Framework versions
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