End of training

README.md

@@ -0,0 +1,73 @@
+---
+language:
+- zh
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- formospeech/tat_asr_aligned
+model-index:
+- name: Whisper Tiny Taiwanese Simulated Android
+  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 Tiny Taiwanese Simulated Android
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the TAT ASR Aligned dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6140
+- Cer: 11.1506
+
+## 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: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 681
+- training_steps: 6810
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.345         | 0.9985 | 681  | 0.4722          | 17.2090 |
+| 0.2022        | 1.9971 | 1362 | 0.4060          | 13.0439 |
+| 0.1228        | 2.9956 | 2043 | 0.4379          | 13.2219 |
+| 0.0721        | 3.9941 | 2724 | 0.4696          | 12.3827 |
+| 0.0406        | 4.9927 | 3405 | 0.5141          | 12.5748 |
+| 0.021         | 5.9912 | 4086 | 0.5437          | 12.2795 |
+| 0.0107        | 6.9897 | 4767 | 0.5696          | 11.8216 |
+| 0.0034        | 7.9883 | 5448 | 0.5935          | 11.4186 |
+| 0.0011        | 8.9868 | 6129 | 0.6080          | 11.2588 |
+| 0.0006        | 9.9853 | 6810 | 0.6140          | 11.1506 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+}