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@@ -22,7 +22,7 @@ gradient_accumulation_steps: 32
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: False
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hub_model_id: llama-3-2-1b-sft
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hub_model_id: llama-3.2-1b-sft
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hub_strategy: every_save
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learning_rate: 2.0e-04
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log_level: info
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@@ -1,5 +1,5 @@
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# Model arguments
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model_name_or_path: tanliboy/llama-3.2-3b
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model_name_or_path: tanliboy/Llama-3.2-3B
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model_revision: main
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torch_dtype: bfloat16
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attn_implementation: flash_attention_2
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@@ -18,25 +18,25 @@ bf16: true
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do_eval: true
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evaluation_strategy: steps
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eval_steps: 200
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gradient_accumulation_steps: 32
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gradient_accumulation_steps: 8
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: False
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hub_model_id: llama-3-2-3b-sft
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hub_model_id: llama-3.2-3b-sft
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hub_strategy: every_save
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learning_rate: 2.0e-04
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learning_rate: 2.0e-05
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log_level: info
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logging_steps: 5
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logging_strategy: steps
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lr_scheduler_type: cosine
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max_seq_length: 2048
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max_steps: -1
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num_train_epochs: 3
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num_train_epochs: 1
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output_dir: /workspace/checkpoints_new/llama-3-2-3b-sft
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run_name: llama-3-2-3b-sft
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overwrite_output_dir: true
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per_device_eval_batch_size: 4
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per_device_train_batch_size: 4
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per_device_eval_batch_size: 3
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per_device_train_batch_size: 2
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push_to_hub: false
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remove_unused_columns: true
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report_to:
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