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Model: shisa-ai/ablation-175-finalsft2-shisa-v2-llama-3.1-8b Source: Original Platform
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README.md
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---
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library_name: transformers
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license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B-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-175-finalsft2-shisa-v2-llama-3.1-8b
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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: meta-llama/Meta-Llama-3.1-8B-Instruct
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model_type: LlamaForCausalLM
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tokenizer_type: AutoTokenizer
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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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chat_template: llama3
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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-175-finalsft2-shisa-v2-llama-3.1-8b
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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-175-finalsft2-shisa-v2-llama-3.1-8b
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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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pad_token: <|end_of_text|>
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```
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</details><br>
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# outputs/ablation-175-finalsft2-shisa-v2-llama-3.1-8b
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-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: 0.6891
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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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| 1.0975 | 0.0026 | 1 | 1.0941 |
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| 0.7721 | 0.5 | 191 | 0.7590 |
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| 0.7161 | 1.0 | 382 | 0.7142 |
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| 0.6348 | 1.5 | 573 | 0.6998 |
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| 0.6261 | 2.0 | 764 | 0.6868 |
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| 0.5672 | 2.5 | 955 | 0.6927 |
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| 0.536 | 3.0 | 1146 | 0.6891 |
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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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35
config.json
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128009,
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"head_dim": 128,
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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": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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||||
"num_key_value_heads": 8,
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||||
"pretraining_tp": 1,
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||||
"rms_norm_eps": 1e-05,
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||||
"rope_scaling": {
|
||||
"factor": 8.0,
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||||
"high_freq_factor": 4.0,
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||||
"low_freq_factor": 1.0,
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||||
"original_max_position_embeddings": 8192,
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||||
"rope_type": "llama3"
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||||
},
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||||
"rope_theta": 500000.0,
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||||
"tie_word_embeddings": false,
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||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.50.0",
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||||
"use_cache": false,
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"vocab_size": 128256
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}
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1
configuration.json
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1
configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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12
generation_config.json
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generation_config.json
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{
|
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"bos_token_id": 128000,
|
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"do_sample": true,
|
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"eos_token_id": [
|
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128001,
|
||||
128008,
|
||||
128009
|
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],
|
||||
"temperature": 0.6,
|
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"top_p": 0.9,
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"transformers_version": "4.50.0"
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}
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
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||||
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}
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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size 17209920
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2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
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||||
version https://git-lfs.github.com/spec/v1
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size 9144
|
||||
Reference in New Issue
Block a user