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Model: biodatlab/whisper-th-large-combined
Source: Original Platform

README.md

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+---
+datasets:
+- mozilla-foundation/common_voice_11_0
+language:
+- th
+license: apache-2.0
+metrics:
+- wer
+tags:
+- whisper-event
+- generated_from_trainer
+model-index:
+- name: Whisper Large Thai Combined - 1000iter
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: mozilla-foundation/common_voice_11_0 th
+      type: mozilla-foundation/common_voice_11_0
+      config: th
+      split: test
+      args: th
+    metrics:
+    - type: wer
+      value: 15.510316437482013
+      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 Thai Combined - 1000iter
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 th dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1244
+- Wer: 15.5103
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1845        | 1.05  | 5000 | 0.1244          | 15.5103 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0
+- Datasets 2.7.1
+- Tokenizers 0.13.2