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  1. README.md +72 -0
  2. generation_config.json +315 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-large-v2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: whisper-large-v2-custom-hi
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # whisper-large-v2-custom-hi
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3389
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+ - Wer: 0.2186
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 50
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+ - training_steps: 5000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.0523 | 2.44 | 500 | 0.2123 | 0.2664 |
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+ | 0.0187 | 4.89 | 1000 | 0.2237 | 0.2370 |
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+ | 0.0041 | 7.33 | 1500 | 0.2647 | 0.2310 |
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+ | 0.0028 | 9.78 | 2000 | 0.2904 | 0.2344 |
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+ | 0.0015 | 12.22 | 2500 | 0.2908 | 0.2268 |
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+ | 0.0003 | 14.67 | 3000 | 0.3022 | 0.2197 |
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+ | 0.0003 | 17.11 | 3500 | 0.3249 | 0.2195 |
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+ | 0.0003 | 19.56 | 4000 | 0.3217 | 0.2161 |
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+ | 0.0 | 22.0 | 4500 | 0.3335 | 0.2181 |
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+ | 0.0 | 24.45 | 5000 | 0.3389 | 0.2186 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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