54 lines
1.2 KiB
YAML
54 lines
1.2 KiB
YAML
base_model: meta-llama/Llama-3.1-8B
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# Automatically upload checkpoint and final model to HF
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# hub_model_id: username/custom_model_name
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datasets:
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- path: togethercomputer/Long-Data-Collections
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type: completion
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field: text
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data_files:
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- pretrain/rp_sub.jsonl.zst
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- path: princeton-nlp/TextbookChapters
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type: completion
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field: chapter
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.0
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output_dir: ./outputs/out
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sequence_len: 500_000
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min_sample_len: 200_000
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sample_packing: true
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tiled_mlp: true
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context_parallel_size: 8
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plugins:
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
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gradient_accumulation_steps: 1
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micro_batch_size: 1
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num_epochs: 1
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optimizer: adamw_torch_8bit
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lr_scheduler: cosine
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learning_rate: 2e-5
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bf16: auto
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tf32: true
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gradient_checkpointing: true
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activation_offloading: legacy
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resume_from_checkpoint:
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logging_steps: 1
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flash_attention: true
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warmup_steps: 100
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saves_per_epoch: 1
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evals_per_epoch: 2
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weight_decay: 0.0
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special_tokens:
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pad_token: <|end_of_text|>
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deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_all.json
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# save_first_step: true # uncomment this to validate checkpoint saving works with your config
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