91 lines
1.5 KiB
YAML
91 lines
1.5 KiB
YAML
base_model: teknium/OpenHermes-2.5-Mistral-7B
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model_type: MistralForCausalLM
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tokenizer_type: LlamaTokenizer
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is_mistral_derived_model: true
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datasets:
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- path: rxavier/economicus
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type: sharegpt
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conversation: chatml
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#shards: 100
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dataset_prepared_path: taurus/train/last_run_prepared
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val_set_size: 0.05
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sequence_len: 2048
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sample_packing: true
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pad_to_sequence_len: true
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adapter: qlora
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lora_r: 64
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_linear: true
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lora_target_modules:
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- q_proj
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- v_proj
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- k_proj
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- o_proj
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- gate_proj
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- down_proj
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- up_proj
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#lora_modules_to_save:
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# - embed_tokens
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# - lm_head
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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bf16: true
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fp16: false
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tf32: false
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 2
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optimizer: paged_adamw_8bit
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weight_decay: 0.0
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lr_scheduler: cosine
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learning_rate: 0.0003
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warmup_ratio: 0.03
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adam_beta2: 0.95
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adam_epsilon: 0.00001
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max_grad_norm: 1.0
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gradient_checkpointing: true
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early_stopping_patience:
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evals_per_epoch: 4
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eval_table_size:
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eval_table_max_new_tokens:
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eval_sample_packing: false
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saves_per_epoch: 4
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debug:
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deepspeed:
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fsdp:
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fsdp_config:
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train_on_inputs: false
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group_by_length: false
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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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output_dir: taurus/train/output
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save_safetensors: true
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wandb_project: economicus
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wandb_entity:
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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#special_tokens:
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# eos_token: "<|im_end|>"
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#tokens:
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# - "<|im_start|>"
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# - "<|im_end|>"
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chat_template: chatml |