End of training

README.md

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+---
+base_model: mujadid-syahbana/whisper-small-qur-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: audioclass-whisper-percobaan1
+  results: []
+---
+
+<!-- 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. -->
+
+# audioclass-whisper-percobaan1
+
+This model is a fine-tuned version of [mujadid-syahbana/whisper-small-qur-base](https://huggingface.co/mujadid-syahbana/whisper-small-qur-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0711
+- Accuracy: 0.9864
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.0043        | 1.0   | 124  | 1.8622          | 0.8186   |
+| 0.8439        | 2.0   | 248  | 0.3895          | 0.9433   |
+| 0.1972        | 3.0   | 372  | 0.1850          | 0.9637   |
+| 0.077         | 4.0   | 496  | 0.1139          | 0.9751   |
+| 0.0289        | 5.0   | 620  | 0.1153          | 0.9773   |
+| 0.0172        | 6.0   | 744  | 0.0783          | 0.9841   |
+| 0.0133        | 7.0   | 868  | 0.0711          | 0.9864   |
+| 0.0116        | 8.0   | 992  | 0.0714          | 0.9841   |
+| 0.0088        | 9.0   | 1116 | 0.0774          | 0.9819   |
+| 0.0079        | 10.0  | 1240 | 0.0800          | 0.9819   |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

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runs/Nov06_14-09-09_202e33c68888/events.out.tfevents.1699281017.202e33c68888.642.1

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