End of training

README.md

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+---
+language:
+- yue
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+model-index:
+- name: Whisper medium 12
+  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 medium 12
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8225
+- Cer: 29.3991
+
+## 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: 32
+- 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: 100
+- training_steps: 12000
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Cer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.0214        | 12.05 | 2000  | 0.7735          | 57.5787 |
+| 0.0107        | 24.1  | 4000  | 0.8499          | 41.2738 |
+| 0.0013        | 36.14 | 6000  | 0.8238          | 31.5901 |
+| 0.0023        | 48.19 | 8000  | 0.8371          | 30.6105 |
+| 0.0           | 60.24 | 10000 | 0.8209          | 29.4550 |
+| 0.0           | 72.29 | 12000 | 0.8225          | 29.3991 |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+}