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README.md CHANGED
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
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  # whisper-tiny-hi2_test
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- This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5037
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- - Wer: 58.3150
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3.75e-05
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- - train_batch_size: 32
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- - eval_batch_size: 1
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  - seed: 42
 
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant
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  - lr_scheduler_warmup_steps: 50
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.6803 | 1.25 | 40 | 0.6102 | 65.9441 |
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- | 0.3649 | 2.5 | 80 | 0.5037 | 58.3150 |
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- | 0.2296 | 3.75 | 120 | 0.4897 | 66.7146 |
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- | 0.1564 | 5.0 | 160 | 0.5131 | 65.3429 |
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- | 0.0905 | 6.25 | 200 | 0.5504 | 63.9035 |
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  ### Framework versions
 
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  ---
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+ license: apache-2.0
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+ base_model: openai/whisper-tiny
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # whisper-tiny-hi2_test
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+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5557
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+ - Wer: 60.5843
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3.75e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 4
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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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: constant
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  - lr_scheduler_warmup_steps: 50
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.6766 | 1.2698 | 40 | 0.6154 | 81.4733 |
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+ | 0.3599 | 2.5397 | 80 | 0.5078 | 67.0110 |
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+ | 0.2297 | 3.8095 | 120 | 0.4940 | 59.7206 |
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+ | 0.153 | 5.0794 | 160 | 0.5193 | 62.0745 |
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+ | 0.0885 | 6.3492 | 200 | 0.5557 | 60.5843 |
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  ### Framework versions
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