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README.md ADDED
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+ ---
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+ base_model: winglian/m12b-20240721-test010
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: outputs/simpo-out
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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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ base_model: winglian/m12b-20240721-test010
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+ tokenizer_type: AutoTokenizer
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+
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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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+
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+ chat_template: chatml
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+ rl: simpo
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+ rl_beta: 2.5
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+ cpo_alpha: 0.05
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+ simpo_gamma: 0.1
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+ datasets:
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+ - path: princeton-nlp/gemma2-ultrafeedback-armorm
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+ type: chat_template.default
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+ chat_template: chatml
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+ field_messages: chosen
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+ field_chosen: chosen
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+ field_rejected: rejected
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+ message_field_role: role
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+ message_field_content: content
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+ roles:
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+ system:
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+ - system
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+ user:
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+ - user
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+ assistant:
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+ - assistant
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+
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+ dataset_prepared_path:
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+ val_set_size: 0.0
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+ output_dir: ./outputs/simpo-out
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+
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+ save_safetensors: true
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+ save_only_model: true # fsdp seems to crap out saving the optimizer
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+
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+ sequence_len: 8192
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+ sample_packing: false
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+ pad_to_sequence_len: true
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+
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+ adapter:
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+ lora_model_dir:
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+ lora_r: 256
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+ lora_alpha: 256
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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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+ # peft_use_rslora: true
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+
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+ wandb_project: romulus-12b
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+ wandb_entity: oaaic
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+ wandb_watch:
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+ wandb_name:
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 16
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+ micro_batch_size: 1
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+ num_epochs: 1
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+ optimizer: adamw_torch
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+ lr_scheduler: cosine
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+ learning_rate: 5.0e-7
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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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+ s2_attention:
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+
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+ warmup_steps: 25
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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: deepspeed_configs/zero3_bf16_cpuoffload_params.json
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/oaaic/romulus-12b/runs/y53osmua)
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+ # outputs/simpo-out
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+
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+ This model is a fine-tuned version of [winglian/m12b-20240721-test010](https://huggingface.co/winglian/m12b-20240721-test010) 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: 5e-07
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 64
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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: 25
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+ - training_steps: 466
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.1
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "winglian/m12b-20240721-test010",
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+ "architectures": [
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 1024000,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.43.1",
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+ "use_cache": false,
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+ "vocab_size": 131072
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+ }
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