fft-layer-config (2) (1) (1).yml

base_model: unsloth/Meta-Llama-3.1-8B-Instruct
load_in_8bit: false
load_in_4bit: false
strict: false

# Layer unfreezing configuration
unfreezing:
  enabled: true
  mode: "selective"
  layer_selection:
    patterns:
      - "model.layers.1"
      - "model.layers.2"
      - "model.layers.3"
      - "model.layers.4"
      - "model.layers.5"
      - "model.layers.6"
      - "model.layers.7"
      - "model.layers.8"
      - "model.layers.9"
      - "model.layers.10"
      - "model.layers.11"
    component_types:
      - "input_layernorm"
      - "self_attn.q_proj"
      - "self_attn.k_proj"
      - "self_attn.v_proj"
      - "self_attn.o_proj"
      - "post_attention_layernorm"
      - "mlp.gate_proj"
      - "mlp.up_proj"
      - "mlp.down_proj"

# Pretraining dataset configuration
pretraining_dataset:
  - path: LemTenku/adasdxacac
    text_column: text
    type: pretrain
    trust_remote_code: true

# Required for streaming datasets
max_steps: 14932
batching_strategy: stream

datasets:
  - path: LemTenku/adasdxacac
    type: pretrain
    text_column: text

dataset_prepared_path: last_run_prepared
val_set_size: 0.05
output_dir: ./outputs/out

sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true

wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:

gradient_accumulation_steps: 8
micro_batch_size: 1
num_epochs: 3
optimizer: paged_adamw_8bit
lr_scheduler: constant
learning_rate: 4e-5

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 0
evaluation_strategy: "no"
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:

special_tokens:
  bos_token: "<|begin_of_text|>"
  eos_token: "<|eot_id|>"
  pad_token: "<|end_of_text|>"

tokens:
  - "<|begin_of_text|>"
  - "<|eot_id|>"
  - "<|end_of_text|>"