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mahmoudmamdouh13
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ast-finetuned-en-alphabets

Audio Classification
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TensorBoard
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audio-spectrogram-transformer
Generated from Trainer
Eval Results
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mahmoudmamdouh13 commited on
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End of training

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Files changed (3) hide show
  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Jun26_19-32-09_ip-10-192-11-139/events.out.tfevents.1750966344.ip-10-192-11-139.33880.0 +2 -2
README.md CHANGED
@@ -25,13 +25,13 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.952021563342318
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  - name: Recall
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  type: recall
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- value: 0.9433962264150944
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  - name: F1
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  type: f1
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- value: 0.9442505607599946
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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
@@ -41,10 +41,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MIT/ast-finetuned-speech-commands-v2](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1781
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- - Precision: 0.9520
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- - Recall: 0.9434
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- - F1: 0.9443
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  ## Model description
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@@ -77,11 +77,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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- | 0.3998 | 1.0 | 112 | 0.2470 | 0.9461 | 0.9387 | 0.9357 |
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- | 0.1269 | 2.0 | 224 | 0.1305 | 0.9764 | 0.9717 | 0.9717 |
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- | 0.0403 | 3.0 | 336 | 0.2126 | 0.9511 | 0.9387 | 0.9377 |
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- | 0.0035 | 4.0 | 448 | 0.1914 | 0.9615 | 0.9481 | 0.9480 |
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- | 0.0039 | 5.0 | 560 | 0.1781 | 0.9520 | 0.9434 | 0.9443 |
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  ### Framework versions
 
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  metrics:
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  - name: Precision
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  type: precision
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+ value: 0.9650943396226415
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  - name: Recall
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  type: recall
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+ value: 0.9481132075471698
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  - name: F1
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  type: f1
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+ value: 0.9476170056358736
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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 [MIT/ast-finetuned-speech-commands-v2](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2165
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+ - Precision: 0.9651
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+ - Recall: 0.9481
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+ - F1: 0.9476
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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+ | 0.3603 | 1.0 | 113 | 0.2447 | 0.9452 | 0.9292 | 0.9261 |
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+ | 0.1769 | 2.0 | 226 | 0.1663 | 0.9611 | 0.9434 | 0.9429 |
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+ | 0.0282 | 3.0 | 339 | 0.1778 | 0.9606 | 0.9481 | 0.9475 |
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+ | 0.0106 | 4.0 | 452 | 0.2003 | 0.9735 | 0.9623 | 0.9629 |
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+ | 0.0055 | 5.0 | 565 | 0.2165 | 0.9651 | 0.9481 | 0.9476 |
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  ### Framework versions
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