Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+model-index:
+- name: CngFSt10_5_sec_model
+  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. -->
+
+# CngFSt10_5_sec_model
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0075
+- Cer: 20.8184
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Cer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0326        | 3.6765  | 1000 | 0.0403          | 67.4303 |
+| 0.0038        | 7.3529  | 2000 | 0.0172          | 47.8057 |
+| 0.0035        | 11.0294 | 3000 | 0.0079          | 11.7720 |
+| 0.0002        | 14.7059 | 4000 | 0.0074          | 23.4474 |
+| 0.0001        | 18.3824 | 5000 | 0.0075          | 20.8184 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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+}

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