* fix to not use batch feature indexing * more vlm fixes * use AutoModelForImageTextToText * add example yaml and need num2words for chat template * improve handling of adding image tokens to conversation * add lfm2-vl support * update the lfm readme * fix markdown and add rtol for loss checks * feat: add smolvlm2 processing strat * fix: check for causal-conv1d in lfm models * feat: add docs for lfm2 * feat: add new models and tips to docs * feat: add smolvlm2 docs and remove extra dep * chore: update docs * feat: add video instructions * chore: cleanup * chore: comments * fix: typo * feat: add usage stats * chore: refactor --------- Co-authored-by: NanoCode012 <nano@axolotl.ai>
50 lines
901 B
YAML
50 lines
901 B
YAML
base_model: LiquidAI/LFM2-350M
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chunked_cross_entropy: true
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eot_tokens:
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- "<|im_end|>"
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datasets:
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- path: mlabonne/FineTome-100k
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type: chat_template
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split: train[:20%]
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.05
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output_dir: ./outputs/out
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sequence_len: 4096
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sample_packing: true
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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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gradient_accumulation_steps: 2
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micro_batch_size: 4
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num_epochs: 1
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optimizer: adamw_torch_fused
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lr_scheduler: cosine
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learning_rate: 5e-5
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bf16: true
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tf32: true
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gradient_checkpointing: false
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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_ratio: 0.1
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evals_per_epoch: 2
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saves_per_epoch: 1
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weight_decay: 0.0
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# save_first_step: true # uncomment this to validate checkpoint saving works with your config
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