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  1. README.md +83 -0
  2. generation_config.json +256 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: arun100/whisper-base-fa-1
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - fleurs
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: arun100/whisper-base-fa-1
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: fleurs
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+ type: fleurs
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+ config: fa_ir
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+ split: test
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+ args: fa_ir
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 41.97512437810945
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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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+ # arun100/whisper-base-fa-1
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+
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+ This model is a fine-tuned version of [arun100/whisper-base-fa-1](https://huggingface.co/arun100/whisper-base-fa-1) on the fleurs dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6517
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+ - Wer: 41.9751
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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-06
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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: 500
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+ - training_steps: 5000
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+ - mixed_precision_training: Native AMP
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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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+ | 0.1284 | 86.0 | 1000 | 0.5030 | 41.2338 |
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+ | 0.0179 | 173.0 | 2000 | 0.5767 | 41.6119 |
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+ | 0.0074 | 260.0 | 3000 | 0.6171 | 41.4478 |
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+ | 0.0047 | 347.0 | 4000 | 0.6419 | 42.1791 |
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+ | 0.0039 | 434.0 | 5000 | 0.6517 | 41.9751 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.2.dev0
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+ - Tokenizers 0.15.0
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