End of training

README.md

@@ -0,0 +1,68 @@
+---
+language:
+- zh
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_0
+model-index:
+- name: Whisper Small 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 Small zh-TW - Chinese
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1496
+- Cer: 99.9924
+
+## 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: 8
+- eval_batch_size: 4
+- 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: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1829        | 0.66  | 1000 | 0.1742          | 100.0076 |
+| 0.0495        | 1.33  | 2000 | 0.1629          | 99.9824  |
+| 0.044         | 1.99  | 3000 | 0.1497          | 99.9849  |
+| 0.0193        | 2.65  | 4000 | 0.1496          | 99.9924  |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0.post301
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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+}

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