62 lines
1.1 KiB
YAML
62 lines
1.1 KiB
YAML
base_model: meta-llama/Llama-3.2-1B
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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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# Dataset configuration for pretraining
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datasets:
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- path: wikitext
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name: wikitext-103-raw-v1
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type: completion
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field: text
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val_set_size: 0.001
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plugins:
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- diffusion.DiffusionPlugin
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noise_schedule: "cosine"
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min_mask_ratio: 0.15
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max_mask_ratio: 0.85
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num_diffusion_steps: 128
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eps: 5e-4
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importance_weighting: true
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mask_token_id: 128002
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output_dir: ./outputs/model-out
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sequence_len: 512
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sample_packing: false
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eval_sample_packing: false
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gradient_accumulation_steps: 8
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micro_batch_size: 4
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max_steps: 10000
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optimizer: adamw_8bit
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lr_scheduler: cosine
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learning_rate: 3e-4
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bf16: auto
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tf32: true
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gradient_checkpointing: true
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resume_from_checkpoint:
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logging_steps: 1
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sdp_attention: true
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warmup_steps: 500
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save_strategy: steps
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eval_strategy: steps
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save_steps: 1000
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eval_steps: 1000
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special_tokens:
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pad_token: "<|end_of_text|>"
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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# save_first_step: true # uncomment this to validate checkpoint saving works with your config
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