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: 1.3270
+- Cer: 42.0122
+
+## 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: 8000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.8931        | 1.52  | 1000 | 1.0926          | 48.9439 |
+| 0.3041        | 3.03  | 2000 | 1.1069          | 49.5474 |
+| 0.1319        | 4.55  | 3000 | 1.1925          | 45.4016 |
+| 0.0324        | 6.06  | 4000 | 1.2592          | 44.3186 |
+| 0.0245        | 7.58  | 5000 | 1.3014          | 44.2359 |
+| 0.0061        | 9.09  | 6000 | 1.3185          | 43.3472 |
+| 0.0031        | 10.61 | 7000 | 1.3266          | 42.2767 |
+| 0.0007        | 12.12 | 8000 | 1.3270          | 42.0122 |
+
+
+### 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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+}