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--- |
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library_name: transformers |
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base_model: minpeter/tiny-ko-124m-base-muon |
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tags: |
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- axolotl |
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- generated_from_trainer |
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datasets: |
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- HuggingFaceTB/smol-smoltalk |
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- trillionlabs/multisystem-curated |
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- allenai/tulu-3-sft-personas-instruction-following |
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- lemon-mint/smol-koreantalk |
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- lemon-mint/Korean-FineTome-100k |
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- heegyu/open-korean-instructions-v20231020 |
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- coastral/korean-writing-style-instruct |
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- devngho/korean-instruction-mix |
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model-index: |
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- name: tiny-ko-124m-sft-muon |
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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: `0.12.0.dev0` |
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```yaml |
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base_model: minpeter/tiny-ko-124m-base-muon |
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hub_model_id: minpeter/tiny-ko-124m-sft-muon |
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output_dir: ./outputs/tiny-ko-124m-sft-muon |
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wandb_project: "axolotl" |
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wandb_entity: "kasfiekfs-e" |
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model_type: LlamaForCausalLM |
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tokenizer_type: AutoTokenizer |
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strict: false |
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chat_template: chatml |
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datasets: |
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- path: HuggingFaceTB/smol-smoltalk |
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type: chat_template |
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split: train |
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field_messages: messages |
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message_property_mappings: |
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role: role |
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content: content |
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- path: trillionlabs/multisystem-curated |
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type: chat_template |
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split: train |
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field_messages: messages |
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message_property_mappings: |
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role: role |
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content: content |
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- path: allenai/tulu-3-sft-personas-instruction-following |
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type: chat_template |
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split: train |
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field_messages: messages |
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message_property_mappings: |
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role: role |
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content: content |
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- path: lemon-mint/smol-koreantalk |
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type: chat_template |
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split: train |
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field_messages: messages |
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message_property_mappings: |
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role: role |
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content: content |
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- path: lemon-mint/Korean-FineTome-100k |
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type: chat_template |
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split: train |
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field_messages: messages |
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message_property_mappings: |
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role: role |
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content: content |
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- path: heegyu/open-korean-instructions-v20231020 |
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type: chat_template |
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split: train |
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field_messages: conversations |
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message_property_mappings: |
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role: from |
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content: value |
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roles: |
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user: ["human", "user"] |
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assistant: ["gpt", "assistant", "bot"] |
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system: ["system", "input"] |
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- path: coastral/korean-writing-style-instruct |
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type: chat_template |
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split: train |
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field_messages: conversations |
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message_property_mappings: |
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role: from |
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content: value |
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- path: devngho/korean-instruction-mix |
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type: chat_template |
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split: train |
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field_messages: messages |
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message_property_mappings: |
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role: from |
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content: value |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.001 |
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save_safetensors: true |
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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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use_pose: true |
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pose_max_context_len: 65536 |
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overrides_of_model_config: |
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rope_theta: 10000.0 |
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max_position_embeddings: 65536 |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 32 |
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num_epochs: 1 |
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optimizer: muon |
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lr_scheduler: cosine |
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learning_rate: 3e-4 |
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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: |
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tf32: true |
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gradient_checkpointing: false |
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gradient_checkpointing_kwargs: |
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use_reentrant: 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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sdp_attention: |
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s2_attention: |
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save_steps: 200 |
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warmup_steps: 20 |
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eval_steps: 200 |
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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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</details><br> |
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# tiny-ko-124m-sft-muon |
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This model is a fine-tuned version of [minpeter/tiny-ko-124m-base-muon](https://huggingface.co/minpeter/tiny-ko-124m-base-muon) on the HuggingFaceTB/smol-smoltalk, the trillionlabs/multisystem-curated, the allenai/tulu-3-sft-personas-instruction-following, the lemon-mint/smol-koreantalk, the lemon-mint/Korean-FineTome-100k, the heegyu/open-korean-instructions-v20231020, the coastral/korean-writing-style-instruct and the devngho/korean-instruction-mix datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6461 |
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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: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 1024 |
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- total_eval_batch_size: 128 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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- training_steps: 6865 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0 | 0 | 2.4581 | |
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| 1.8892 | 0.1165 | 200 | 1.9059 | |
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| 1.802 | 0.2331 | 400 | 1.8333 | |
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| 1.7906 | 0.3496 | 600 | 1.7918 | |
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| 1.7761 | 0.4661 | 800 | 1.7638 | |
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| 1.7145 | 0.5827 | 1000 | 1.7423 | |
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| 1.7114 | 0.6992 | 1200 | 1.7255 | |
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| 1.6798 | 0.8157 | 1400 | 1.7123 | |
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| 1.6722 | 0.9323 | 1600 | 1.7006 | |
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| 1.6821 | 1.0484 | 1800 | 1.6928 | |
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| 1.6414 | 1.1649 | 2000 | 1.6864 | |
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| 1.6473 | 1.2814 | 2200 | 1.6794 | |
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| 1.6202 | 1.3980 | 2400 | 1.6729 | |
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| 1.6141 | 1.5145 | 2600 | 1.6689 | |
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| 1.6415 | 1.6310 | 2800 | 1.6645 | |
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| 1.6165 | 1.7476 | 3000 | 1.6603 | |
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| 1.6292 | 1.8641 | 3200 | 1.6573 | |
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| 1.6277 | 1.9806 | 3400 | 1.6541 | |
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| 1.6033 | 2.0967 | 3600 | 1.6537 | |
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| 1.6432 | 2.2133 | 3800 | 1.6517 | |
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| 1.602 | 2.3298 | 4000 | 1.6505 | |
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| 1.6435 | 2.4463 | 4200 | 1.6493 | |
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| 1.5941 | 2.5629 | 4400 | 1.6481 | |
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| 1.594 | 2.6794 | 4600 | 1.6473 | |
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| 1.5986 | 2.7959 | 4800 | 1.6468 | |
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| 1.586 | 2.9125 | 5000 | 1.6464 | |
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| 1.6146 | 3.0286 | 5200 | 1.6462 | |
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| 1.5985 | 3.1451 | 5400 | 1.6462 | |
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| 1.574 | 3.2616 | 5600 | 1.6462 | |
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| 1.5823 | 3.3782 | 5800 | 1.6460 | |
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| 1.597 | 3.4947 | 6000 | 1.6460 | |
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| 1.5859 | 3.6112 | 6200 | 1.6460 | |
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| 1.5769 | 3.7277 | 6400 | 1.6459 | |
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| 1.572 | 3.8443 | 6600 | 1.6459 | |
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| 1.6111 | 3.9608 | 6800 | 1.6461 | |
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### Framework versions |
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- Transformers 4.53.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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