axolotl/config.yml

base_model: teknium/OpenHermes-2.5-Mistral-7B
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true

datasets:
  - path: rxavier/economicus
    type: sharegpt
    conversation: chatml
    #shards: 100
dataset_prepared_path: taurus/train/last_run_prepared
val_set_size: 0.05

sequence_len: 2048
sample_packing: true
pad_to_sequence_len: true

adapter: qlora
lora_r: 64
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_target_modules:
  - q_proj
  - v_proj
  - k_proj
  - o_proj
  - gate_proj
  - down_proj
  - up_proj
#lora_modules_to_save:
#  - embed_tokens
#  - lm_head

load_in_8bit: false
load_in_4bit: true
strict: false
bf16: true
fp16: false
tf32: false

gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 2
optimizer: paged_adamw_8bit
weight_decay: 0.0
lr_scheduler: cosine
learning_rate: 0.0003
warmup_ratio: 0.03
adam_beta2: 0.95
adam_epsilon: 0.00001
max_grad_norm: 1.0

gradient_checkpointing: true
early_stopping_patience:

evals_per_epoch: 4
eval_table_size:
eval_table_max_new_tokens:
eval_sample_packing: false
saves_per_epoch: 4
debug:
deepspeed:

fsdp:
fsdp_config:

train_on_inputs: false
group_by_length: false
resume_from_checkpoint:

local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

output_dir: taurus/train/output
save_safetensors: true

wandb_project: economicus
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:

#special_tokens:
#  eos_token: "<|im_end|>"
#tokens:
#  - "<|im_start|>"
#  - "<|im_end|>"
chat_template: chatml