config.yaml

base_model: /root/autodl-tmp/c4/Meta-Llama-3-8B-Instruct-abliterated-v3
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
tokenizer_use_fast: false


load_in_8bit: false
load_in_4bit: false
strict: false
model_config:

datasets:
  - path: /root/autodl-tmp/c4/11.json
    type: sharegpt
    conversation: llama3
    roles:
      input: user
      output: assistant
  - path: /root/autodl-tmp/c4/LimaRP-augmented-8k-context.json
    type: sharegpt
    conversation: llama3
  - path: Sao10K/Short-Storygen-v2
    type:
      # The below are defaults. only set what's needed if you use a different column name.
      system_prompt: ""
      system_format: "{system}"
      field_instruction: prompt
      field_system: system
      field_output: response
    conversation: llama3
  - path: /root/autodl-tmp/c4/Claude-3-Opus-Instruct-15K/Claude3-Opus-Multi-Instruct-5K-v1.json
    type:
      # The below are defaults. only set what's needed if you use a different column name.
      system_prompt: ""
      system_format: "{system}"
      field_instruction: prompt
      #field_input: prompt
      field_output: response
    conversation: llama3
  - path: /root/autodl-tmp/c4/Claude-3-Opus-Instruct-15K/Opus_Instruct-v2-3.5K-Filtered-v2.json
    type:
      # The below are defaults. only set what's needed if you use a different column name.
      system_prompt: ""
      system_format: "{system}"
      field_instruction: prompt
      #field_input: prompt
      field_output: response
    conversation: llama3
  - path: /root/autodl-tmp/c4/Claude-3-Opus-Instruct-15K/Opus_Instruct-v2-6.5K-Filtered-v2.json
    type:
      # The below are defaults. only set what's needed if you use a different column name.
      system_prompt: ""
      system_format: "{system}"
      field_instruction: prompt
      #field_input: prompt
      field_output: response
    conversation: llama3
  - path: SicariusSicariiStuff/Bluemoon_Top50MB_Sorted_Fixed
    type: sharegpt
    conversation: llama3
  - path: /root/autodl-tmp/c4/clean-gpt2.json
    type: sharegpt
    conversation: llama3
  - path: /root/autodl-tmp/c4/LimaRP-augmented-8k-context.json
    type: sharegpt
    conversation: llama3

chat_template: llama3
    

dataset_prepared_path: /root/autodl-tmp/thingy
val_set_size: 0.005
output_dir: ./out

sequence_len: 4096
sample_packing: true
pad_to_sequence_len: true

gradient_accumulation_steps: 4
micro_batch_size: 3
num_epochs: 5
logging_steps: 1
optimizer: adamw_8bit
lr_scheduler: cosine
learning_rate: 2e-5

wandb_project: llama3-8b-hiwaifu
wandb_watch:
wandb_run_id:
wandb_log_model:

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:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
saves_per_epoch: 1
save_total_limit: 2
save_steps:
evals_per_epoch: 4
eval_sample_packing: false
debug:
deepspeed: /root/autodl-tmp/c4/axolotl/deepspeed_configs/zero3_bf16.json
weight_decay: 0.05
fsdp:
fsdp_config:
special_tokens:
  eos_token: "<|eot_id|>"
  pad_token: "<|end_of_text|>"