End of training

README.md

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+---
+language:
+- zh
+license: apache-2.0
+library_name: peft
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_0
+base_model: openai/whisper-large-v3
+model-index:
+- name: Whisper Large v3 zh-TW - Chinese
+  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 Large v3 zh-TW - Chinese
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1537
+
+## 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: 0.001
+- 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_steps: 50
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.198         | 1.0   | 1507 | 0.1869          |
+| 0.0817        | 2.0   | 3014 | 0.1605          |
+| 0.021         | 3.0   | 4521 | 0.1537          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.0.post301
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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