zhangdah/gemma-2b-finetune-test
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: 4
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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: 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_ratio: 0.1
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-
- num_epochs:
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### Training results
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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_ratio: 0.1
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- num_epochs: 10
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### Training results
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model-00001-of-00003.safetensors
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model-00002-of-00003.safetensors
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runs/Sep04_01-45-56_7678ee64f446/events.out.tfevents.1725414361.7678ee64f446.1409.0
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training_args.bin
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