Files
axolotl/examples/LiquidAI/lfm2-350m-fft.yaml
Wing Lian 130ef7c51a Various fixes for VLMs (#3063)
* 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

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Co-authored-by: NanoCode012 <nano@axolotl.ai>
2025-08-15 10:52:57 -04:00

50 lines
901 B
YAML

base_model: LiquidAI/LFM2-350M
chunked_cross_entropy: true
eot_tokens:
- "<|im_end|>"
datasets:
- path: mlabonne/FineTome-100k
type: chat_template
split: train[:20%]
field_messages: conversations
message_field_role: from
message_field_content: value
dataset_prepared_path: last_run_prepared
val_set_size: 0.05
output_dir: ./outputs/out
sequence_len: 4096
sample_packing: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 2
micro_batch_size: 4
num_epochs: 1
optimizer: adamw_torch_fused
lr_scheduler: cosine
learning_rate: 5e-5
bf16: true
tf32: true
gradient_checkpointing: false
resume_from_checkpoint:
logging_steps: 1
flash_attention: true
warmup_ratio: 0.1
evals_per_epoch: 2
saves_per_epoch: 1
weight_decay: 0.0
# save_first_step: true # uncomment this to validate checkpoint saving works with your config