End of training
Browse files
README.md
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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-
- total_train_batch_size:
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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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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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- training_steps: 10000
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- mixed_precision_training: Native AMP
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### Framework versions
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model.safetensors
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runs/Nov16_23-00-16_45fc0e654a1d/events.out.tfevents.1731798021.45fc0e654a1d.738.4
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training_args.bin
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