akuzdeuov commited on
Commit
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End of training

Browse files
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: 0.88
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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 [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4728
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- - Accuracy: 0.88
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  ## Model description
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@@ -53,8 +53,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -66,16 +66,16 @@ 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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- | 1.7435 | 1.0 | 57 | 1.4619 | 0.69 |
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- | 0.9015 | 2.0 | 114 | 1.0255 | 0.68 |
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- | 0.6845 | 3.0 | 171 | 0.6006 | 0.82 |
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- | 0.4751 | 4.0 | 228 | 0.6464 | 0.79 |
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- | 0.1744 | 5.0 | 285 | 0.4190 | 0.87 |
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- | 0.0863 | 6.0 | 342 | 0.4075 | 0.86 |
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- | 0.1415 | 7.0 | 399 | 0.4753 | 0.86 |
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- | 0.0104 | 8.0 | 456 | 0.5076 | 0.87 |
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- | 0.0663 | 9.0 | 513 | 0.4812 | 0.9 |
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- | 0.0028 | 10.0 | 570 | 0.4728 | 0.88 |
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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: 0.9
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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 [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4981
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+ - Accuracy: 0.9
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.1058 | 1.0 | 29 | 1.8465 | 0.42 |
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+ | 1.3479 | 2.0 | 58 | 1.1915 | 0.66 |
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+ | 0.7793 | 3.0 | 87 | 0.8178 | 0.81 |
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+ | 0.5603 | 4.0 | 116 | 0.7727 | 0.78 |
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+ | 0.404 | 5.0 | 145 | 0.6454 | 0.82 |
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+ | 0.3251 | 6.0 | 174 | 0.5526 | 0.86 |
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+ | 0.3089 | 7.0 | 203 | 0.5551 | 0.86 |
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+ | 0.1296 | 8.0 | 232 | 0.5292 | 0.86 |
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+ | 0.0966 | 9.0 | 261 | 0.5025 | 0.86 |
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+ | 0.0761 | 10.0 | 290 | 0.4981 | 0.9 |
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  ### Framework versions
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