End of training

README.md

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+---
+language:
+- zh
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+model-index:
+- name: Whisper tiny epoch test - Perrie
+  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 epoch test - Perrie
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4754
+- Cer: 57.5895
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 700
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.4064        | 0.99  | 700  | 0.4476          | 33.9306 |
+| 0.3595        | 1.99  | 1400 | 0.4218          | 29.0735 |
+| 0.2349        | 2.98  | 2100 | 0.4197          | 25.9553 |
+| 0.1507        | 3.97  | 2800 | 0.4237          | 25.9104 |
+| 0.1003        | 4.96  | 3500 | 0.4309          | 35.9495 |
+| 0.0601        | 5.96  | 4200 | 0.4442          | 29.8821 |
+| 0.0481        | 6.95  | 4900 | 0.4551          | 36.7132 |
+| 0.0296        | 7.94  | 5600 | 0.4640          | 38.9224 |
+| 0.0207        | 8.94  | 6300 | 0.4721          | 47.1645 |
+| 0.0169        | 9.93  | 7000 | 0.4754          | 57.5895 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 1.12.1
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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+}

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