End of training

README.md

@@ -0,0 +1,67 @@
+---
+language:
+- zh
+license: apache-2.0
+base_model: ZhihCheng/whisper-base-zh
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper base zh v2
+  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 base zh v2
+
+This model is a fine-tuned version of [ZhihCheng/whisper-base-zh](https://huggingface.co/ZhihCheng/whisper-base-zh) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1822
+- Wer: 75.0
+
+## 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: 4
+- 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: 25
+- training_steps: 200
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer   |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| 0.1856        | 0.85  | 50   | 0.3361          | 81.25 |
+| 0.0434        | 1.69  | 100  | 0.2016          | 75.0  |
+| 0.0187        | 2.54  | 150  | 0.1727          | 75.0  |
+| 0.009         | 3.39  | 200  | 0.1822          | 75.0  |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0a0+6a974be
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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+}

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