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hubert-base-ls960-finetuned-gtzan

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  1. README.md +25 -25
  2. model.safetensors +1 -1
  3. runs/Aug24_22-58-10_d5da59cbac92/events.out.tfevents.1724540326.d5da59cbac92.1092.0 +2 -2
README.md CHANGED
@@ -8,7 +8,7 @@ datasets:
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  metrics:
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  - accuracy
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  model-index:
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- - name: hubert-base-ls960-finetuned-gtzan
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  results:
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  - task:
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  name: Audio Classification
@@ -22,18 +22,18 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.86
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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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  should probably proofread and complete it, then remove this comment. -->
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- # hubert-base-ls960-finetuned-gtzan
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  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6524
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- - Accuracy: 0.86
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  ## Model description
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@@ -66,26 +66,26 @@ 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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- | 2.1626 | 1.0 | 90 | 2.0818 | 0.29 |
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- | 1.6876 | 2.0 | 180 | 1.6356 | 0.46 |
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- | 1.5907 | 3.0 | 270 | 1.4315 | 0.44 |
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- | 1.1261 | 4.0 | 360 | 1.1621 | 0.59 |
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- | 1.2327 | 5.0 | 450 | 1.0259 | 0.7 |
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- | 0.787 | 6.0 | 540 | 1.0662 | 0.68 |
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- | 0.9672 | 7.0 | 630 | 0.8381 | 0.77 |
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- | 0.626 | 8.0 | 720 | 0.7148 | 0.83 |
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- | 0.4198 | 9.0 | 810 | 0.8384 | 0.77 |
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- | 0.3601 | 10.0 | 900 | 0.5700 | 0.82 |
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- | 0.4672 | 11.0 | 990 | 0.8379 | 0.8 |
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- | 0.3303 | 12.0 | 1080 | 0.5098 | 0.86 |
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- | 0.2577 | 13.0 | 1170 | 0.8730 | 0.81 |
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- | 0.3535 | 14.0 | 1260 | 0.8539 | 0.82 |
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- | 0.2021 | 15.0 | 1350 | 0.8921 | 0.81 |
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- | 0.1995 | 16.0 | 1440 | 0.4829 | 0.88 |
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- | 0.3149 | 17.0 | 1530 | 0.6051 | 0.84 |
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- | 0.0828 | 18.0 | 1620 | 0.5581 | 0.86 |
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- | 0.0557 | 19.0 | 1710 | 0.5707 | 0.87 |
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- | 0.1019 | 20.0 | 1800 | 0.6524 | 0.86 |
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  ### Framework versions
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: hubert-base-ls960-v2-finetuned-gtzan
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  results:
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  - task:
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  name: Audio Classification
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.84
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # hubert-base-ls960-v2-finetuned-gtzan
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  This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7772
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+ - Accuracy: 0.84
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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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+ | 2.2028 | 1.0 | 90 | 2.1088 | 0.42 |
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+ | 1.7214 | 2.0 | 180 | 1.6669 | 0.43 |
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+ | 1.6141 | 3.0 | 270 | 1.5335 | 0.54 |
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+ | 0.9971 | 4.0 | 360 | 1.1589 | 0.64 |
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+ | 1.0174 | 5.0 | 450 | 0.9587 | 0.64 |
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+ | 0.7295 | 6.0 | 540 | 0.8286 | 0.69 |
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+ | 0.8034 | 7.0 | 630 | 0.8001 | 0.76 |
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+ | 0.5709 | 8.0 | 720 | 0.9846 | 0.73 |
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+ | 0.4724 | 9.0 | 810 | 0.6829 | 0.79 |
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+ | 0.5161 | 10.0 | 900 | 0.9728 | 0.72 |
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+ | 0.4247 | 11.0 | 990 | 0.7745 | 0.78 |
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+ | 0.2696 | 12.0 | 1080 | 0.5330 | 0.87 |
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+ | 0.1403 | 13.0 | 1170 | 0.7202 | 0.83 |
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+ | 0.3434 | 14.0 | 1260 | 0.8506 | 0.82 |
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+ | 0.2754 | 15.0 | 1350 | 0.6707 | 0.85 |
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+ | 0.152 | 16.0 | 1440 | 0.8752 | 0.83 |
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+ | 0.233 | 17.0 | 1530 | 0.5098 | 0.9 |
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+ | 0.1169 | 18.0 | 1620 | 0.7069 | 0.86 |
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+ | 0.1667 | 19.0 | 1710 | 0.7760 | 0.84 |
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+ | 0.0691 | 20.0 | 1800 | 0.7772 | 0.84 |
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  ### Framework versions
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