initial upload
Browse files- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- dpo.yml +88 -0
adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": [
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"embed_tokens",
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"lm_head"
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],
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"down_proj",
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"k_proj",
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"gate_proj",
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"o_proj",
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"up_proj",
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eeb248996a9dae77a91ea3f766b7a6460841e8532db6d9614d7134b024319cf5
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size 1195470168
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dpo.yml
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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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load_in_8bit: false
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load_in_4bit: false
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strict: false
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rl: true
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datasets:
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- path: Intel/orca_dpo_pairs
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split: train
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type: intel_apply_chatml
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- path: allenai/ultrafeedback_binarized_cleaned
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split: train_prefs
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type: ultra_apply_chatml
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.0
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output_dir: ./dpopenhermes-rc5/
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save_total_limit: 3
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hub_model_id: openaccess-ai-collective/dpopenhermes-rc5
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adapter: lora
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lora_model_dir:
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sequence_len: 2048
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sample_packing: false
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pad_to_sequence_len: false
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lora_r: 64
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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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lora_modules_to_save:
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- embed_tokens
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- lm_head
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lora_fan_in_fan_out:
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lora_target_modules:
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- gate_proj
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- down_proj
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- up_proj
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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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wandb_project: openhermes-dpo
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wandb_entity: oaaic
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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gradient_accumulation_steps: 4
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micro_batch_size: 4
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num_epochs: 1
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optimizer: paged_adamw_8bit
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adam_beta2: 0.95
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adam_epsilion: 0.00001
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lr_scheduler: cosine
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learning_rate: 2e-5
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train_on_inputs: false
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group_by_length: false
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bf16: true
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fp16: false
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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_steps: 100
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eval_steps:
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eval_table_size:
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eval_table_max_new_tokens: 128
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save_steps: 239
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debug:
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deepspeed:
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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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save_safetensors: true
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