[finetune-llm] Training configs for 70b full parameter finetuning #85
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Signed-off-by: Amog Kamsetty <amogkamsetty@gmail.com>
Signed-off-by: Amog Kamsetty <amogkamsetty@gmail.com>
gvspraveen
reviewed
Feb 23, 2024
| @@ -8,6 +8,7 @@ train_batch_size_per_device: 8 | |||
| eval_batch_size_per_device: 8 | |||
| learning_rate: 5e-6 | |||
| num_checkpoints_to_keep: 1 | |||
| dataset_size_scaling_factor: 10000 | |||
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This removes llmforge's restriction on dataset size. This is currently a workaround, but in the future we should remove the default dataset size restriction in llmforge and only enable it for public endpoints. This is being tracked and I will make an issue for this.
gvspraveen
approved these changes
Feb 23, 2024
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Add YAMLs for more Llama 70b finetuning configurations