Taurus-7B-1.0 / axolotl /config.yml
Rafael
Add model
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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