minpeter / tiny-ko-187m-sft-250718

huggingface.co
Total runs: 238
24-hour runs: 0
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30-day runs: 0
Model's Last Updated: July 23 2025
text-generation

Introduction of tiny-ko-187m-sft-250718

Model Details of tiny-ko-187m-sft-250718

Built with Axolotl

See axolotl config

axolotl version: 0.12.0.dev0

base_model: minpeter/tiny-ko-187m-base-250718

hub_model_id: minpeter/tiny-ko-187m-sft-250718
output_dir: ./outputs/tiny-ko-187m-sft-250718
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: 8192
sample_packing: false
pad_to_sequence_len: false
use_pose: true
pose_max_context_len: 65536

overrides_of_model_config:
  rope_theta: 1000000.0
  max_position_embeddings: 65536

gradient_accumulation_steps: 8
micro_batch_size: 16
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:

special_tokens:
  eos_token: '<|im_end|>'

plugins:
  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
  - axolotl.integrations.liger.LigerPlugin
  - axolotl.integrations.lm_eval.LMEvalPlugin

lm_eval_tasks:
  - gsm8k
  - hellaswag
  - arc_easy
  - arc_challenge
  - piqa
  - winogrande
  - openbookqa
  - wsc
  - boolq

liger_rope: true
liger_rms_norm: true
liger_glu_activation: true
liger_layer_norm: true
liger_fused_linear_cross_entropy: true

tiny-ko-187m-sft-250718

This model is a fine-tuned version of minpeter/tiny-ko-187m-base-250718 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: 1.6990
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: 16
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 512
  • total_eval_batch_size: 64
  • 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: 3470
Training results
Training Loss Epoch Step Validation Loss
No log 0 0 2.1799
1.8649 0.0576 200 1.8603
1.8031 0.1153 400 1.8033
1.7128 0.1729 600 1.7709
1.7758 0.2306 800 1.7492
1.7084 0.2882 1000 1.7339
1.7258 0.3458 1200 1.7225
1.6972 0.4035 1400 1.7149
1.73 0.4611 1600 1.7091
1.7166 0.5188 1800 1.7051
1.688 0.5764 2000 1.7025
1.737 0.6341 2200 1.7010
1.7322 0.6917 2400 1.6998
1.7133 0.7493 2600 1.6994
1.6953 0.8070 2800 1.6992
1.7233 0.8646 3000 1.6990
1.733 0.9223 3200 1.6990
1.7017 0.9799 3400 1.6990
Framework versions
  • Transformers 4.53.2
  • Pytorch 2.7.1+cu126
  • Datasets 4.0.0
  • Tokenizers 0.21.2

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