jethrowang
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End of training
Browse files
README.md
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.
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- eval_cer:
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- eval_runtime:
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- eval_samples_per_second:
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- eval_steps_per_second: 0.
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- step: 0
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 64
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- eval_batch_size: 32
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- seed: 42
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0824
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- eval_cer: 4.0964
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- eval_runtime: 589.9301
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- eval_samples_per_second: 7.728
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- eval_steps_per_second: 0.242
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- step: 0
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## Model description
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### Training hyperparameters
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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: 64
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- eval_batch_size: 32
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- seed: 42
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model.safetensors
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runs/Aug15_03-13-48_nv3090/events.out.tfevents.1723663418.nv3090.319248.0
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training_args.bin
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