Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: easycall-whisper-lg-3-Nov3
+  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. -->
+
+# easycall-whisper-lg-3-Nov3
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0614
+- Wer: 8.1563
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 500
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 1.4391        | 0.0946 | 100  | 0.2666          | 33.1351 |
+| 0.1608        | 0.1892 | 200  | 0.1262          | 17.0773 |
+| 0.1116        | 0.2838 | 300  | 0.0969          | 12.4894 |
+| 0.119         | 0.3784 | 400  | 0.1043          | 13.5939 |
+| 0.0981        | 0.4730 | 500  | 0.0961          | 12.3619 |
+| 0.0943        | 0.5676 | 600  | 0.0968          | 11.6822 |
+| 0.087         | 0.6623 | 700  | 0.0886          | 11.5548 |
+| 0.086         | 0.7569 | 800  | 0.0681          | 8.7935  |
+| 0.0706        | 0.8515 | 900  | 0.0718          | 9.2608  |
+| 0.067         | 0.9461 | 1000 | 0.0695          | 8.7935  |
+| 0.0571        | 1.0407 | 1100 | 0.0682          | 8.3263  |
+| 0.0596        | 1.1353 | 1200 | 0.0683          | 9.3883  |
+| 0.0445        | 1.2299 | 1300 | 0.0677          | 8.0289  |
+| 0.0577        | 1.3245 | 1400 | 0.0665          | 9.4308  |
+| 0.0544        | 1.4191 | 1500 | 0.0633          | 8.5387  |
+| 0.0491        | 1.5137 | 1600 | 0.0671          | 9.6856  |
+| 0.0536        | 1.6083 | 1700 | 0.0617          | 8.6661  |
+| 0.0406        | 1.7029 | 1800 | 0.0823          | 9.0059  |
+| 0.0543        | 1.7975 | 1900 | 0.0614          | 8.1563  |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.4.1
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+}

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