HeinrichWirth commited on
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End of training

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  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -4,7 +4,7 @@ base_model: KoRiF/distilhubert-finetuned-gtzan
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  tags:
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  - generated_from_trainer
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  datasets:
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- - HeinrichWirth/gtzan
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  metrics:
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  - accuracy
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  model-index:
@@ -15,14 +15,14 @@ model-index:
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  type: audio-classification
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  dataset:
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  name: GTZAN
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- type: HeinrichWirth/gtzan
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  config: all
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  split: train
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  args: all
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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
@@ -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 [KoRiF/distilhubert-finetuned-gtzan](https://huggingface.co/KoRiF/distilhubert-finetuned-gtzan) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8358
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- - Accuracy: 0.86
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  ## Model description
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@@ -52,9 +52,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-06
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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
@@ -65,9 +65,9 @@ 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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- | 0.0009 | 1.0 | 113 | 0.7775 | 0.86 |
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- | 0.001 | 2.0 | 226 | 0.8215 | 0.86 |
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- | 0.163 | 3.0 | 339 | 0.8358 | 0.86 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - marsyas/gtzan
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  metrics:
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  - accuracy
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  model-index:
 
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  type: audio-classification
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  dataset:
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  name: GTZAN
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+ type: marsyas/gtzan
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  config: all
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  split: train
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  args: all
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.87
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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 [KoRiF/distilhubert-finetuned-gtzan](https://huggingface.co/KoRiF/distilhubert-finetuned-gtzan) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7240
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+ - Accuracy: 0.87
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-08
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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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+ | 0.0014 | 1.0 | 225 | 0.7260 | 0.87 |
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+ | 0.0014 | 2.0 | 450 | 0.7243 | 0.87 |
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+ | 0.002 | 3.0 | 675 | 0.7240 | 0.87 |
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  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 94783376
 
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