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--- |
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license: llama3 |
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base_model: maywell/Llama-3-Ko-Luxia-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: data/output/1min-luxia-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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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```yaml |
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base_model: maywell/Llama-3-Ko-Luxia-Instruct |
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trust_remote_code: true |
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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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datasets: |
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- path: "../data/output_fix_real.json" |
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type: alpaca |
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conversation: chatml |
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dataset_prepared_path: ../data/1min-luxia-data-pre |
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val_set_size: 0.1 |
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output_dir: ../data/output/1min-luxia-8b |
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sequence_len: 1024 |
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sample_packing: true |
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pad_to_sequence_len: true |
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eval_sample_packing: false |
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wandb_project: |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 1 |
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num_epochs: 10 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 2e-6 |
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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: null |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: null |
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resume_from_checkpoint: null |
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local_rank: null |
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logging_steps: 1 |
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xformers_attention: null |
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flash_attention: true |
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warmup_steps: 10 |
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evals_per_epoch: 4 |
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eval_table_size: null |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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save_total_limit: 4 |
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debug: true |
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deepspeed: deepspeed_configs/zero2.json |
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weight_decay: 0.0 |
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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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# data/output/1min-luxia-8b |
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This model is a fine-tuned version of [maywell/Llama-3-Ko-Luxia-Instruct](https://huggingface.co/maywell/Llama-3-Ko-Luxia-Instruct) on the modified [maywell/ko_youtube_transcription_sample](https://huggingface.co/datasets/maywell/ko_youtube_transcription_sample) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5280 |
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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: 2e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 7 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 56 |
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- total_eval_batch_size: 7 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.9998 | 0.2051 | 1 | 3.0382 | |
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| 3.0081 | 0.4103 | 2 | 3.0379 | |
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| 2.9024 | 0.6154 | 3 | 3.0356 | |
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| 2.9814 | 0.8205 | 4 | 3.0280 | |
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| 2.9813 | 1.0256 | 5 | 3.0136 | |
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| 2.9137 | 1.1795 | 6 | 2.9918 | |
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| 2.9909 | 1.3846 | 7 | 2.9426 | |
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| 2.8925 | 1.5897 | 8 | 2.9047 | |
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| 2.825 | 1.7949 | 9 | 2.8790 | |
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| 2.8329 | 2.0 | 10 | 2.7949 | |
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| 2.6496 | 2.1538 | 11 | 2.7632 | |
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| 2.6857 | 2.3590 | 12 | 2.7388 | |
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| 2.679 | 2.5641 | 13 | 2.7193 | |
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| 2.6802 | 2.7692 | 14 | 2.6748 | |
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| 2.6269 | 2.9744 | 15 | 2.6452 | |
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| 2.5546 | 3.1282 | 16 | 2.6286 | |
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| 2.574 | 3.3333 | 17 | 2.6168 | |
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| 2.5548 | 3.5385 | 18 | 2.6054 | |
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| 2.5145 | 3.7436 | 19 | 2.5952 | |
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| 2.452 | 3.9487 | 20 | 2.5863 | |
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| 2.4647 | 4.1026 | 21 | 2.5786 | |
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| 2.423 | 4.3077 | 22 | 2.5715 | |
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| 2.4104 | 4.5128 | 23 | 2.5648 | |
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| 2.3664 | 4.7179 | 24 | 2.5592 | |
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| 2.4211 | 4.9231 | 25 | 2.5536 | |
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| 2.4291 | 5.0769 | 26 | 2.5492 | |
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| 2.3475 | 5.2821 | 27 | 2.5455 | |
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| 2.3665 | 5.4872 | 28 | 2.5417 | |
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| 2.3862 | 5.6923 | 29 | 2.5387 | |
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| 2.3784 | 5.8974 | 30 | 2.5360 | |
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| 2.354 | 6.0513 | 31 | 2.5343 | |
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| 2.3442 | 6.2564 | 32 | 2.5321 | |
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| 2.3499 | 6.4615 | 33 | 2.5312 | |
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| 2.3312 | 6.6667 | 34 | 2.5297 | |
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| 2.3551 | 6.8718 | 35 | 2.5289 | |
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| 2.3363 | 7.0256 | 36 | 2.5289 | |
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| 2.3691 | 7.2308 | 37 | 2.5284 | |
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| 2.3267 | 7.4359 | 38 | 2.5281 | |
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| 2.3389 | 7.6410 | 39 | 2.5281 | |
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| 2.1969 | 7.8462 | 40 | 2.5280 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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