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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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+ model-index:
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+ - name: nohto-v0-1e
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.0`
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+ ```yaml
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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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+ model_type: AutoModelForCausalLM
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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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+ chat_template: inst
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+
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+ datasets:
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+ - path: ./data/nohto/training.jsonl
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+ type: sharegpt
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+
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+ dataset_prepared_path: last_run_prepared
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+ val_set_size: 0.1
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+ output_dir: ../nohto-v0-1e
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+
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+ adapter: lora
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+ lora_model_dir:
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+
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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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+
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+ lora_r: 16
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+ lora_alpha: 32
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+ lora_dropout: 0.1
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+ lora_target_linear: true
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+ lora_fan_in_fan_out:
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+
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+ eval_sample_packing: false
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+
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+ hub_model_id: dyang415/nohto-v0-1e
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+
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+ wandb_project: nohto
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+ wandb_name: nohto-v0
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+ wandb_log_model: end
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+
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+ gradient_accumulation_steps: 4
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+ micro_batch_size: 2
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+ num_epochs: 1
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+ optimizer: paged_adamw_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.0002
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+
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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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+
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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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+
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+ warmup_steps: 10
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+ eval_steps: 0.2
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+ save_steps: 0.1
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+ eval_max_new_tokens: 128
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+ debug:
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+ deepspeed:
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+ weight_decay: 0.0
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+ fsdp:
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+ fsdp_config:
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+
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+ ```
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+
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+ </details><br>
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+
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+ # nohto-v0-1e
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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+ - total_eval_batch_size: 4
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 1
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.0
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+ - Transformers 4.37.0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.0
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+ {
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+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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+ "bias": "none",
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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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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.1,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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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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+ "gate_proj",
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+ "down_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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config.json ADDED
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+ {
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+ "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "torch_dtype": "bfloat16",
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+ "vocab_size": 32000
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+ }
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+ "additional_special_tokens": [],
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+ "bos_token": "<s>",
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+ "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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