wsogmm/whisper-medium-cs-cv16
Browse files
README.md
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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:
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 3
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- total_train_batch_size: 48
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- total_eval_batch_size: 3
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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: 4
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 3
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 48
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- total_eval_batch_size: 3
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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runs/Feb02_12-58-27_bayes/events.out.tfevents.1706878802.bayes.5532.0
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size 6161
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 4856
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version https://git-lfs.github.com/spec/v1
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size 4856
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