Model save

README.md

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+---
+license: apache-2.0
+base_model: ntu-spml/distilhubert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: arabic-alphabet-speech-classification
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/kichsan92/huggingface/runs/ww9x1oum)
+# arabic-alphabet-speech-classification
+
+This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0156
+- Accuracy: 0.9980
+
+## 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: 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.0669        | 1.0   | 2220  | 0.9510          | 0.7601   |
+| 0.2059        | 2.0   | 4440  | 0.0944          | 0.9718   |
+| 0.0457        | 3.0   | 6660  | 0.0452          | 0.9863   |
+| 0.0067        | 4.0   | 8880  | 0.0475          | 0.9903   |
+| 0.0001        | 5.0   | 11100 | 0.0316          | 0.9923   |
+| 0.0121        | 6.0   | 13320 | 0.0377          | 0.9926   |
+| 0.0001        | 7.0   | 15540 | 0.0214          | 0.9950   |
+| 0.0           | 8.0   | 17760 | 0.0226          | 0.9968   |
+| 0.0           | 9.0   | 19980 | 0.0156          | 0.9980   |
+| 0.0           | 10.0  | 22200 | 0.0117          | 0.9977   |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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runs/Aug19_06-15-39_69e21ee7ee7a/events.out.tfevents.1724055579.69e21ee7ee7a.34.1

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