End of training

README.md

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+---
+library_name: transformers
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- saurabhy27-outcomes/singlish_speech_corpus
+metrics:
+- wer
+model-index:
+- name: Whisper small singlish v2
+  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. -->
+
+# Whisper small singlish v2
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Singlish Speech Corpus dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2000
+- Wer: 33.7188
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.1765        | 0.7407 | 500  | 0.1531          | 9.8226  |
+| 0.0711        | 1.4815 | 1000 | 0.1481          | 32.2996 |
+| 0.0415        | 2.2222 | 1500 | 0.1568          | 51.1892 |
+| 0.0221        | 2.9630 | 2000 | 0.1582          | 33.1932 |
+| 0.0064        | 3.7037 | 2500 | 0.1750          | 37.4310 |
+| 0.0024        | 4.4444 | 3000 | 0.1856          | 40.0394 |
+| 0.0017        | 5.1852 | 3500 | 0.1903          | 34.0539 |
+| 0.0008        | 5.9259 | 4000 | 0.1948          | 34.5269 |
+| 0.0006        | 6.6667 | 4500 | 0.1996          | 33.6662 |
+| 0.0005        | 7.4074 | 5000 | 0.2000          | 33.7188 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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