End of training

README.md

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+---
+license: apache-2.0
+base_model: vpingale07/distilhubert-v2-v3
+tags:
+- generated_from_trainer
+datasets:
+- marsyas/gtzan
+metrics:
+- accuracy
+model-index:
+- name: vpingale07/distilhubert-v2-finetuned-gtzan
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: all
+      split: train
+      args: all
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.76
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# vpingale07/distilhubert-v2-finetuned-gtzan
+
+This model is a fine-tuned version of [vpingale07/distilhubert-v2-v3](https://huggingface.co/vpingale07/distilhubert-v2-v3) on the GTZAN dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6829
+- Accuracy: 0.76
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0033        | 1.0   | 100  | 1.2483          | 0.75     |
+| 0.26          | 2.0   | 200  | 1.8205          | 0.71     |
+| 0.1267        | 3.0   | 300  | 1.4803          | 0.745    |
+| 0.0151        | 4.0   | 400  | 1.6217          | 0.76     |
+| 0.0005        | 5.0   | 500  | 1.7132          | 0.755    |
+| 0.0004        | 6.0   | 600  | 1.6308          | 0.77     |
+| 0.0002        | 7.0   | 700  | 1.7769          | 0.77     |
+| 0.0003        | 8.0   | 800  | 1.8616          | 0.74     |
+| 0.0006        | 9.0   | 900  | 1.5622          | 0.78     |
+| 0.0002        | 10.0  | 1000 | 1.6839          | 0.77     |
+| 0.0002        | 11.0  | 1100 | 1.6411          | 0.77     |
+| 0.0001        | 12.0  | 1200 | 1.6829          | 0.76     |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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