Model save

README.md

@@ -1,3 +1,70 @@
 ---
 license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper_CN
+  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_CN
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2598
+- Wer: 266.9357
+
+## 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: 8
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer      |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0378        | 2.84  | 2000  | 0.1870          | 195.0945 |
+| 0.0023        | 5.67  | 4000  | 0.2071          | 240.6880 |
+| 0.0006        | 8.51  | 6000  | 0.2149          | 160.2463 |
+| 0.0003        | 11.35 | 8000  | 0.2226          | 164.5148 |
+| 0.0002        | 28.4  | 10000 | 0.2332          | 160.5649 |
+| 0.0002        | 34.08 | 12000 | 0.2460          | 301.9112 |
+| 0.0001        | 39.76 | 14000 | 0.2598          | 266.9357 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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   "torch_dtype": "float32",
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