minpeter
/

tiny-ko-124m-sft-muon

+---
+library_name: transformers
+base_model: minpeter/tiny-ko-124m-base-muon
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- HuggingFaceTB/smol-smoltalk
+- trillionlabs/multisystem-curated
+- allenai/tulu-3-sft-personas-instruction-following
+- lemon-mint/smol-koreantalk
+- lemon-mint/Korean-FineTome-100k
+- heegyu/open-korean-instructions-v20231020
+- coastral/korean-writing-style-instruct
+- devngho/korean-instruction-mix
+model-index:
+- name: tiny-ko-124m-sft-muon
+  results: []
+---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+[<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)
+<details><summary>See axolotl config</summary>
+axolotl version: `0.12.0.dev0`
+```yaml
+base_model: minpeter/tiny-ko-124m-base-muon
+hub_model_id: minpeter/tiny-ko-124m-sft-muon
+output_dir: ./outputs/tiny-ko-124m-sft-muon
+wandb_project: "axolotl"
+wandb_entity: "kasfiekfs-e"
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+strict: false
+chat_template: chatml
+datasets:
+  - path: HuggingFaceTB/smol-smoltalk
+    type: chat_template
+    split: train
+    field_messages: messages
+    message_property_mappings:
+      role: role
+      content: content
+  - path: trillionlabs/multisystem-curated
+    type: chat_template
+    split: train
+    field_messages: messages
+    message_property_mappings:
+      role: role
+      content: content
+  - path: allenai/tulu-3-sft-personas-instruction-following
+    type: chat_template
+    split: train
+    field_messages: messages
+    message_property_mappings:
+      role: role
+      content: content
+  - path: lemon-mint/smol-koreantalk
+    type: chat_template
+    split: train
+    field_messages: messages
+    message_property_mappings:
+      role: role
+      content: content
+  - path: lemon-mint/Korean-FineTome-100k
+    type: chat_template
+    split: train
+    field_messages: messages
+    message_property_mappings:
+      role: role
+      content: content
+  - path: heegyu/open-korean-instructions-v20231020
+    type: chat_template
+    split: train
+    field_messages: conversations
+    message_property_mappings:
+      role: from
+      content: value
+    roles:
+      user: ["human", "user"]
+      assistant: ["gpt", "assistant", "bot"]
+      system: ["system", "input"]
+  - path: coastral/korean-writing-style-instruct
+    type: chat_template
+    split: train
+    field_messages: conversations
+    message_property_mappings:
+      role: from
+      content: value
+  - path: devngho/korean-instruction-mix
+    type: chat_template
+    split: train
+    field_messages: messages
+    message_property_mappings:
+      role: from
+      content: value
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.001
+save_safetensors: true
+sequence_len: 2048
+sample_packing: false
+pad_to_sequence_len: false
+use_pose: true
+pose_max_context_len: 65536
+overrides_of_model_config:
+  rope_theta: 10000.0
+  max_position_embeddings: 65536
+gradient_accumulation_steps: 8
+micro_batch_size: 32
+num_epochs: 1
+optimizer: muon
+lr_scheduler: cosine
+learning_rate: 3e-4
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16:
+tf32: true
+gradient_checkpointing: false
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+sdp_attention:
+s2_attention:
+save_steps: 200
+warmup_steps: 20
+eval_steps: 200
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+```
+</details><br>
+# tiny-ko-124m-sft-muon
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.6461
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 1024
+- total_eval_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 20
+- training_steps: 6865
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0      | 0    | 2.4581          |
+| 1.8892        | 0.1165 | 200  | 1.9059          |
+| 1.802         | 0.2331 | 400  | 1.8333          |
+| 1.7906        | 0.3496 | 600  | 1.7918          |
+| 1.7761        | 0.4661 | 800  | 1.7638          |
+| 1.7145        | 0.5827 | 1000 | 1.7423          |
+| 1.7114        | 0.6992 | 1200 | 1.7255          |
+| 1.6798        | 0.8157 | 1400 | 1.7123          |
+| 1.6722        | 0.9323 | 1600 | 1.7006          |
+| 1.6821        | 1.0484 | 1800 | 1.6928          |
+| 1.6414        | 1.1649 | 2000 | 1.6864          |
+| 1.6473        | 1.2814 | 2200 | 1.6794          |
+| 1.6202        | 1.3980 | 2400 | 1.6729          |
+| 1.6141        | 1.5145 | 2600 | 1.6689          |
+| 1.6415        | 1.6310 | 2800 | 1.6645          |
+| 1.6165        | 1.7476 | 3000 | 1.6603          |
+| 1.6292        | 1.8641 | 3200 | 1.6573          |
+| 1.6277        | 1.9806 | 3400 | 1.6541          |
+| 1.6033        | 2.0967 | 3600 | 1.6537          |
+| 1.6432        | 2.2133 | 3800 | 1.6517          |
+| 1.602         | 2.3298 | 4000 | 1.6505          |
+| 1.6435        | 2.4463 | 4200 | 1.6493          |
+| 1.5941        | 2.5629 | 4400 | 1.6481          |
+| 1.594         | 2.6794 | 4600 | 1.6473          |
+| 1.5986        | 2.7959 | 4800 | 1.6468          |
+| 1.586         | 2.9125 | 5000 | 1.6464          |
+| 1.6146        | 3.0286 | 5200 | 1.6462          |
+| 1.5985        | 3.1451 | 5400 | 1.6462          |
+| 1.574         | 3.2616 | 5600 | 1.6462          |
+| 1.5823        | 3.3782 | 5800 | 1.6460          |
+| 1.597         | 3.4947 | 6000 | 1.6460          |
+| 1.5859        | 3.6112 | 6200 | 1.6460          |
+| 1.5769        | 3.7277 | 6400 | 1.6459          |
+| 1.572         | 3.8443 | 6600 | 1.6459          |
+| 1.6111        | 3.9608 | 6800 | 1.6461          |
+### Framework versions
+- Transformers 4.53.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1