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Model: shisa-ai/ablation-191-finalsft2-shisa-v2-qwen2.5-7b Source: Original Platform
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---
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library_name: transformers
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license: apache-2.0
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- generated_from_trainer
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datasets:
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- shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
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- shisa-ai/shisa-v2-roleplaying-sft
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- shisa-ai/translation_set_april_6
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- shisa-ai/rewild-set-deepseek-subset
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- shisa-ai/magpie-ultra-set
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- shisa-ai/magpie-advanced-questions-set
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- shisa-ai/japan-magpie-set
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- shisa-ai/shisa-v2-instruction-following-sft
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model-index:
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- name: outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
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results: []
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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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[<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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axolotl version: `0.8.0.dev0`
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```yaml
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# train w/ shisa-ai/shisa-v1-athenev2-reannotated-filtered
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base_model: Qwen/Qwen2.5-7B-Instruct
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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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# User Liger
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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liger_rope: true
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liger_rms_norm: true
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liger_glu_activation: true
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liger_fused_linear_cross_entropy: true
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datasets:
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- path: shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
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type: chat_template
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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- path: shisa-ai/shisa-v2-roleplaying-sft
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type: chat_template
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field_messages: conversations
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message_property_mappings:
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role: role
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content: content
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roles:
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system:
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- system
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assistant:
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- gpt
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- model
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- assistant
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user:
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- human
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- user
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roles_to_train: ["assistant"]
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- path: shisa-ai/translation_set_april_6
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split: train[:25%]
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type: chat_template
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field_messages: conversations
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message_property_mappings:
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role: role
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content: content
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roles:
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system:
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- system
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assistant:
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- gpt
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- model
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- assistant
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user:
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- human
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- user
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roles_to_train: ["assistant"]
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- path: shisa-ai/rewild-set-deepseek-subset
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split: train[:25%]
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type: chat_template
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field_messages: conversations
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message_property_mappings:
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role: role
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content: content
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roles:
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system:
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- system
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assistant:
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- gpt
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- model
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- assistant
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user:
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- human
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- user
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roles_to_train: ["assistant"]
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- path: shisa-ai/magpie-ultra-set
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split: train[:8%]
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type: chat_template
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field_messages: conversations
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message_property_mappings:
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role: role
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content: content
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roles:
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system:
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- system
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assistant:
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- gpt
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- model
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- assistant
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user:
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- human
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- user
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roles_to_train: ["assistant"]
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- path: shisa-ai/magpie-advanced-questions-set
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split: train[:8%]
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type: chat_template
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field_messages: conversations
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message_property_mappings:
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role: role
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content: content
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roles:
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system:
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- system
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assistant:
|
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- gpt
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- model
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- assistant
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user:
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- human
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- user
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roles_to_train: ["assistant"]
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- path: shisa-ai/japan-magpie-set
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split: train
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type: chat_template
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field_messages: conversations
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message_property_mappings:
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role: role
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content: content
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roles:
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system:
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- system
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assistant:
|
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- gpt
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- model
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- assistant
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user:
|
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- human
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- user
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roles_to_train: ["assistant"]
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- path: shisa-ai/shisa-v2-instruction-following-sft
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split: train[:50%]
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type: chat_template
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field_messages: conversations
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message_property_mappings:
|
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role: role
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content: content
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roles:
|
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system:
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- system
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assistant:
|
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- gpt
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- model
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- assistant
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user:
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- human
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- user
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roles_to_train: ["assistant"]
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.05
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output_dir: ./outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
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sequence_len: 8192
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sample_packing: true
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pad_to_sequence_len: true
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# marginal difference
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neftune_noise_alpha: 5
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use_wandb: true
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wandb_project: shisa-v2
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wandb_entity: augmxnt
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wandb_name: ablation-191-finalsft2-shisa-v2-qwen2.5-7b
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gradient_accumulation_steps: 1
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micro_batch_size: 4
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num_epochs: 3
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optimizer: paged_adamw_8bit
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lr_scheduler: linear
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learning_rate: 1e-5
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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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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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early_stopping_patience:
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resume_from_checkpoint:
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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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evals_per_epoch: 2
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eval_table_size:
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saves_per_epoch: 0
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save_total_limit: 1 # Only store a single checkpoint
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debug:
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deepspeed: zero3_bf16.json
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weight_decay: 1e-4
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fsdp:
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fsdp_config:
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special_tokens:
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```
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</details><br>
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# outputs/ablation-191-finalsft2-shisa-v2-qwen2.5-7b
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt, the shisa-ai/shisa-v2-roleplaying-sft, the shisa-ai/translation_set_april_6, the shisa-ai/rewild-set-deepseek-subset, the shisa-ai/magpie-ultra-set, the shisa-ai/magpie-advanced-questions-set, the shisa-ai/japan-magpie-set and the shisa-ai/shisa-v2-instruction-following-sft datasets.
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It achieves the following results on the evaluation set:
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- Loss: 0.7119
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 32
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- total_train_batch_size: 128
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- total_eval_batch_size: 128
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 3.0
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### Training results
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||||
| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0667 | 0.0026 | 1 | 1.0905 |
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||||
| 0.7574 | 0.5 | 189 | 0.7749 |
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| 0.7322 | 1.0 | 378 | 0.7368 |
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| 0.6711 | 1.5 | 567 | 0.7233 |
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| 0.6645 | 2.0 | 756 | 0.7122 |
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| 0.6144 | 2.5 | 945 | 0.7146 |
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| 0.6031 | 3.0 | 1134 | 0.7119 |
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### Framework versions
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- Transformers 4.50.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.4.1
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- Tokenizers 0.21.1
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config.json
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config.json
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{
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||||
"architectures": [
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"Qwen2ForCausalLM"
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||||
],
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"attention_dropout": 0.0,
|
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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||||
"max_position_embeddings": 32768,
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||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 28,
|
||||
"num_hidden_layers": 28,
|
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"num_key_value_heads": 4,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": 131072,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.50.0",
|
||||
"use_cache": false,
|
||||
"use_sliding_window": false,
|
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"vocab_size": 152064
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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"do_sample": true,
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|
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
|
||||
"temperature": 0.7,
|
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"top_k": 20,
|
||||
"top_p": 0.8,
|
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"transformers_version": "4.50.0"
|
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}
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||||
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||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:be286f3dc9663c56e716630ec16010f15b5d4e33559327b1dcb68c0cfd60ae71
|
||||
size 8632
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user