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Training in progress, step 10
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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