Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- arrow
+model-index:
+- name: whisper-tiny-multitask-hf-200k-ep10_practice_0805
+  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-multitask-hf-200k-ep10_practice_0805
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the arrow dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0082
+- Cer: 100.0
+- Acc: 1.0
+
+## 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: 5e-05
+- train_batch_size: 128
+- 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: 1000
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Cer   | Acc |
+|:-------------:|:-----:|:-----:|:---------------:|:-----:|:---:|
+| 0.54          | 1.0   | 1584  | 0.2232          | 100.0 | 1.0 |
+| 0.1377        | 2.0   | 3168  | 0.0907          | 100.0 | 1.0 |
+| 0.0538        | 3.0   | 4752  | 0.0473          | 100.0 | 1.0 |
+| 0.0286        | 4.0   | 6336  | 0.0309          | 100.0 | 1.0 |
+| 0.0178        | 5.0   | 7920  | 0.0214          | 100.0 | 1.0 |
+| 0.011         | 6.0   | 9504  | 0.0167          | 100.0 | 1.0 |
+| 0.008         | 7.0   | 11088 | 0.0130          | 100.0 | 1.0 |
+| 0.0055        | 8.0   | 12672 | 0.0115          | 100.0 | 1.0 |
+| 0.0038        | 9.0   | 14256 | 0.0094          | 100.0 | 1.0 |
+| 0.0027        | 10.0  | 15840 | 0.0082          | 100.0 | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+}

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