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base_model: IntervitensInc/gemma-2-9b-chatml |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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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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datasets: |
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- path: NewEden/Kalo-Opus-Instruct-25K-Refusal-killed |
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type: chatml |
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- path: NewEden/Gryphe-3.5-16k-Subset |
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type: chatml |
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val_set_size: 0.05 |
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output_dir: ./outputs/out |
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adapter: lora |
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peft_use_rslora: true |
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lora_r: 32 |
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lora_alpha: 32 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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sequence_len: 8192 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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wandb_project: magnum 9b |
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wandb_entity: |
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wandb_watch: |
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wandb_name: magnum 9b inst |
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wandb_log_model: |
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gradient_accumulation_steps: 32 |
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micro_batch_size: 1 |
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num_epochs: 2 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00002 |
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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: true |
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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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warmup_ratio: 0.1 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: zero2.json |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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