| 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!! | |