models/whisper-large-v3-cv17-th-ft-with-lr-5e-5

README.md

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+---
+library_name: peft
+language:
+- th
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper Large v3 Thai Finetuned
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: th
+      split: None
+      args: 'config: th, split: train'
+    metrics:
+    - type: wer
+      value: 37.2840522511834
+      name: Wer
+---
+
+<!-- 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 Large v3 Thai Finetuned
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1197
+- Cer: 347.2750
+- Wer: 37.2841
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Cer      | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|
+| 0.1468        | 1.0   | 2052  | 0.1265          | 348.7140 | 42.3821 |
+| 0.1225        | 2.0   | 4104  | 0.1178          | 387.4029 | 34.6267 |
+| 0.0914        | 3.0   | 6156  | 0.1157          | 368.2561 | 36.4184 |
+| 0.0779        | 4.0   | 8208  | 0.1182          | 347.7405 | 36.8434 |
+| 0.0624        | 5.0   | 10260 | 0.1197          | 347.2750 | 37.2841 |
+
+
+### Framework versions
+
+- PEFT 0.14.1.dev0
+- Transformers 4.49.0.dev0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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