2024-06-01 14:49 - Cuda check
2024-06-01 14:49 - True
2024-06-01 14:49 - 2
2024-06-01 14:49 - Configue Model and tokenizer
2024-06-01 14:49 - Cuda check
2024-06-01 14:49 - True
2024-06-01 14:49 - 2
2024-06-01 14:49 - Configue Model and tokenizer
2024-06-01 14:49 - Memory usage in   0.00 GB
2024-06-01 14:49 - Memory usage in   0.00 GB
2024-06-01 14:49 - Dataset loaded successfully:
 train-Jingmei/Pandemic_Wiki
 test -Jingmei/Pandemic
2024-06-01 14:49 - Dataset loaded successfully:
 train-Jingmei/Pandemic_Wiki
 test -Jingmei/Pandemic
2024-06-01 14:49 - Tokenize data: DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 2152
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 8264
    })
})
2024-06-01 14:49 - Tokenize data: DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 2152
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 8264
    })
})
2024-06-01 14:49 - Split data into chunks:DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 24863
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 198964
    })
})
2024-06-01 14:49 - Setup PEFT
2024-06-01 14:49 - Setup optimizer
2024-06-01 14:49 - Split data into chunks:DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 24863
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 198964
    })
})
2024-06-01 14:49 - Setup PEFT
2024-06-01 14:49 - Setup optimizer
2024-06-01 14:49 - Start training!!
2024-06-01 14:49 - Start training!!
2024-06-01 14:51 - Cuda check
2024-06-01 14:51 - True
2024-06-01 14:51 - 2
2024-06-01 14:51 - Configue Model and tokenizer
2024-06-01 14:51 - Cuda check
2024-06-01 14:51 - True
2024-06-01 14:51 - 2
2024-06-01 14:51 - Configue Model and tokenizer
2024-06-01 14:51 - Memory usage in   0.00 GB
2024-06-01 14:51 - Memory usage in   0.00 GB
2024-06-01 14:51 - Dataset loaded successfully:
 train-Jingmei/Pandemic_Wiki
 test -Jingmei/Pandemic
2024-06-01 14:51 - Tokenize data: DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 2152
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 8264
    })
})
2024-06-01 14:51 - Dataset loaded successfully:
 train-Jingmei/Pandemic_Wiki
 test -Jingmei/Pandemic
2024-06-01 14:51 - Split data into chunks:DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 24863
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 198964
    })
})
2024-06-01 14:51 - Setup PEFT
2024-06-01 14:51 - Tokenize data: DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 2152
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 8264
    })
})
2024-06-01 14:51 - Split data into chunks:DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 24863
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 198964
    })
})
2024-06-01 14:51 - Setup PEFT
2024-06-01 14:51 - Setup optimizer
2024-06-01 14:51 - Setup optimizer
2024-06-01 14:51 - Start training!!
2024-06-01 14:51 - Start training!!