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base_model: mistralai/Mixtral-8x7B-v0.1
model_type: MixtralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: false
load_in_8bit: false
load_in_4bit: true
strict: false
datasets:
- path: /workspace/dataset/Aesir
type: completion
- path: /workspace/dataset/LimaRP
type: completion
- path: /workspace/dataset/no-robots-alpaca-completion-train.json
type: completion
- path: /workspace/dataset/toxicsharegpt-NoWarning-completion.jsonl
type: completion
dataset_prepared_path:
val_set_size: 0
output_dir: /workspace/Noromaid-v0.1-mixtral-8x7b
resume_from_checkpoint:
hf_use_auth_token:
adapter: qlora
lora_model_dir:
sequence_len: 16384
sample_packing: true
pad_to_sequence_len: true
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- w1
- w2
- w3
lora_target_linear:
lora_fan_in_fan_out:
lora_modules_to_save:
- embed_tokens
- lm_head
wandb_project: Noromaid-v0.1-mixtral-8x7b-v3
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:
gradient_accumulation_steps: 1
micro_batch_size: 2
num_epochs: 3
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 0.0002
model_config:
output_router_logits: true
train_on_inputs:
group_by_length: false
bf16: true
fp16: false
tf32: false
gradient_checkpointing: true
early_stopping_patience:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
loss_watchdog_threshold: 5.0
loss_watchdog_patience: 3
warmup_steps: 10
evals_per_epoch: 4
eval_table_size:
eval_table_max_new_tokens: 128
saves_per_epoch: 2
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens: |