End of training
Browse files- README.md +8 -8
- config.json +1 -1
- model.safetensors +1 -1
- runs/Aug18_01-50-49_SOTA/events.out.tfevents.1723919126.SOTA.395388.0 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 32
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- eval_batch_size:
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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: linear
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- lr_scheduler_warmup_steps:
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- training_steps:
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- mixed_precision_training: Native AMP
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### Framework versions
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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: 0.0196
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- eval_cer: 0.6577
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- eval_runtime: 2073.9271
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- eval_samples_per_second: 2.198
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- eval_steps_per_second: 0.137
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- step: 0
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## Model description
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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: 32
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- eval_batch_size: 16
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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: linear
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- lr_scheduler_warmup_steps: 1521
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- training_steps: 15215
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- mixed_precision_training: Native AMP
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### Framework versions
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config.json
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{
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"_name_or_path": "/share/nas169/jethrowang/CADA-GAN/whisper/results/vanilla-whisper-medium/checkpoint-
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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{
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"_name_or_path": "/share/nas169/jethrowang/CADA-GAN/whisper/results/vanilla-whisper-medium/checkpoint-15215",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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model.safetensors
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runs/Aug18_01-50-49_SOTA/events.out.tfevents.1723919126.SOTA.395388.0
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training_args.bin
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