End of training

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- rngzhi/cs3264-project
+metrics:
+- wer
+model-index:
+- name: Whisper Small - Singlish v2
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: rngzhi/cs3264-project
+      type: rngzhi/cs3264-project
+    metrics:
+    - name: Wer
+      type: wer
+      value: 4.923638021426943
+---
+
+<!-- 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. -->
+
+# Whisper Small - Singlish v2
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the rngzhi/cs3264-project dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1850
+- Wer: 4.9236
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 25
+- training_steps: 800
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.5404        | 0.0625 | 50   | 0.1970          | 5.6075 |
+| 0.075         | 1.0144 | 100  | 0.1557          | 4.8780 |
+| 0.042         | 1.0769 | 150  | 0.1610          | 4.9692 |
+| 0.0185        | 2.0288 | 200  | 0.1628          | 4.9122 |
+| 0.0117        | 2.0913 | 250  | 0.1651          | 5.0262 |
+| 0.0096        | 3.0431 | 300  | 0.1716          | 5.0490 |
+| 0.007         | 3.1056 | 350  | 0.1747          | 5.0034 |
+| 0.0045        | 4.0575 | 400  | 0.1783          | 5.1402 |
+| 0.0046        | 5.0094 | 450  | 0.1749          | 5.1288 |
+| 0.004         | 5.0719 | 500  | 0.1782          | 5.0148 |
+| 0.0021        | 6.0237 | 550  | 0.1814          | 5.0034 |
+| 0.004         | 6.0862 | 600  | 0.1813          | 4.9920 |
+| 0.0024        | 7.0381 | 650  | 0.1844          | 4.9350 |
+| 0.0022        | 7.1006 | 700  | 0.1834          | 4.9008 |
+| 0.0032        | 8.0525 | 750  | 0.1850          | 4.9236 |
+| 0.0016        | 9.0044 | 800  | 0.1850          | 4.9236 |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.1.dev0
+- Tokenizers 0.19.1

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