werty1248
/

EXAONE-3.5-32B-LIMO-Ko-e4

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 ---
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 ---
 library_name: transformers
+license: other
+license_name: exaone
+license_link: LICENSE
+language:
+- en
+- ko
+datasets:
+- GAIR/LIMO
+- junnei/ko-limo
+- exp-models/GAIR-LIMO-KOREAN
+base_model:
+- LGAI-EXAONE/EXAONE-3.5-32B-Instruct
 ---
+- 평가 진행중...
+### 데이터 셋
+#### LIMO
+- [GAIR/LIMO](https://huggingface.co/datasets/GAIR/LIMO) (영어, 원본)
+#### LIMO 한국어 번역
+- [exp-models/GAIR-LIMO-KOREAN](https://huggingface.co/datasets/exp-models/GAIR-LIMO-KOREAN) (한국어 번역)
+- [junnei/ko-limo](https://huggingface.co/datasets/junnei/ko-limo) (한국어 번역)
+### 특이사항
+- 원래 [LIMO](https://github.com/GAIR-NLP/LIMO/blob/main/train/data/limo.json)에서는 15 epoch 학습을 수행함
+- 영어1+한국어2 데이터 셋을 섞은 후 5 epoch 학습시켜 원래 학습 방법과 유사한 횟수만큼, 그러나 약간의 변형이 있도록 학습시키려고 함
+- 그러나 정성 평가에서 4 epoch 시점의 checkpoint가 가장 성능이 좋아 보였음
+### Training Details
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6629154d55d7c289634b8c5d/08RXo5k87nW-iWqwJharz.png)
+<details><summary>Axolotl config</summary>
+```
+base_model: beomi/EXAONE-3.5-32B-Instruct-Llamafied
+model_type: AutoModelForCausalLM
+tokenizer_config: beomi/EXAONE-3.5-32B-Instruct-Llamafied
+tokenizer_type: AutoTokenizer
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+datasets:
+  - path: werty1248/kk_oo_llliiimmmooo
+    field_messages: conversations
+    type: chat_template
+    chat_template: tokenizer_default
+dataset_prepared_path: ./data_preparation
+output_dir: /workspace/data
+hf_use_auth_token: true
+sequence_len: 32768
+sample_packing: false
+pad_to_sequence_len: true
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+wandb_project:
+#wandb_entity:
+#wandb_watch:
+wandb_name:
+#wandb_log_model:
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+num_epochs: 5
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 5.0e-6
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+warmup_ratio: 0.05
+eval_table_size:
+save_total_limit: 2
+deepspeed: ./deepspeed_configs/zero3_bf16.json
+special_tokens:
+  pad_token: "[|endofturn|]"
+```
+</details>