f30d062b48
* Add StableLM examples and configurations * Add FFT and LORA configuration files and modify readme with usage
70 lines
1.2 KiB
YAML
70 lines
1.2 KiB
YAML
base_model: stabilityai/stablelm-2-1_6b
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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trust_remote_code: true
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: mhenrichsen/alpaca_2k_test
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type: alpaca
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.05
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output_dir: ./out
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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adapter:
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lora_model_dir:
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lora_r:
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lora_alpha:
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lora_dropout:
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lora_target_linear:
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lora_fan_in_fan_out:
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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gradient_accumulation_steps: 1
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micro_batch_size: 1
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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tf32: false
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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flash_attn_cross_entropy: false
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flash_attn_rms_norm: true
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flash_attn_fuse_qkv: false
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flash_attn_fuse_mlp: true
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warmup_steps: 100
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evals_per_epoch: 4
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eval_table_size:
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saves_per_epoch: 1
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debug:
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deepspeed: #deepspeed_configs/zero2.json # multi-gpu only
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weight_decay: 0.1
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fsdp:
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fsdp_config:
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special_tokens:
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