2024-05-28 12:27 - Cuda check
2024-05-28 12:27 - True
2024-05-28 12:27 - 2
2024-05-28 12:27 - Configue Model and tokenizer
2024-05-28 12:38 - Memory usage in   2.13 GB
2024-05-28 12:38 - Dataset loaded successfully:
 train-Jingmei/Pandemic_Wiki
 test -Jingmei/Pandemic_WHO
2024-05-28 12:39 - Tokenize data: DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 2152
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 8264
    })
})
2024-05-28 12:40 - Split data into chunks:DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 24856
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 198964
    })
})
2024-05-28 12:40 - Setup PEFT
2024-05-28 12:40 - Setup optimizer
2024-05-28 12:47 - Cuda check
2024-05-28 12:47 - True
2024-05-28 12:47 - 2
2024-05-28 12:47 - Configue Model and tokenizer
2024-05-28 12:47 - Memory usage in   2.13 GB
2024-05-28 12:47 - Dataset loaded successfully:
 train-Jingmei/Pandemic_Wiki
 test -Jingmei/Pandemic_WHO
2024-05-28 12:47 - Tokenize data: DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 2152
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 8264
    })
})
2024-05-28 12:47 - Split data into chunks:DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 24856
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 198964
    })
})
2024-05-28 12:47 - Setup PEFT
2024-05-28 12:47 - Setup optimizer
2024-05-28 13:15 - Cuda check
2024-05-28 13:15 - True
2024-05-28 13:15 - 2
2024-05-28 13:15 - Configue Model and tokenizer
2024-05-28 13:15 - Memory usage in   2.13 GB
2024-05-28 13:15 - Dataset loaded successfully:
 train-Jingmei/Pandemic_Wiki
 test -Jingmei/Pandemic_WHO
2024-05-28 13:15 - Tokenize data: DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 2152
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 8264
    })
})
2024-05-28 13:15 - Split data into chunks:DatasetDict({
    train: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 24856
    })
    test: Dataset({
        features: ['input_ids', 'attention_mask'],
        num_rows: 198964
    })
})
2024-05-28 13:15 - Setup PEFT
2024-05-28 13:15 - Setup optimizer
2024-05-28 13:15 - Start training