End of training

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+language:
+- zh
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+model-index:
+- name: Whisper Small TW
+  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 TW
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2189
+- Cer: 231.0951
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.0317        | 1.4184 | 1000 | 0.2052          | 161.0327 |
+| 0.0108        | 2.8369 | 2000 | 0.2051          | 169.0186 |
+| 0.0021        | 4.2553 | 3000 | 0.2114          | 189.4879 |
+| 0.0007        | 5.6738 | 4000 | 0.2164          | 225.0780 |
+| 0.0006        | 7.0922 | 5000 | 0.2189          | 231.0951 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.4.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+}

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