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llama8_on_korean_summary
ghost613/llama8_on_korean_summary
llama8_on_korean_summary is a machine learning model from ghost613. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- May 16, 2024
- Updated
- May 20, 2024
- SHA
- 10425b11
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
llama8_on_korean_summary
This model is a fine-tuned version of beomi/Llama-3-Open-Ko-8B-Instruct-preview on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8536
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 760
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7767 | 0.26 | 20 | 1.5096 |
| 1.2382 | 0.53 | 40 | 1.0459 |
| 0.9915 | 0.79 | 60 | 0.9451 |
| 0.9126 | 1.05 | 80 | 0.8893 |
| 0.8501 | 1.32 | 100 | 0.8515 |
| 0.8113 | 1.58 | 120 | 0.8192 |
| 0.8019 | 1.84 | 140 | 0.7939 |
| 0.7239 | 2.11 | 160 | 0.7795 |
| 0.6621 | 2.37 | 180 | 0.7594 |
| 0.6457 | 2.63 | 200 | 0.7433 |
| 0.6417 | 2.89 | 220 | 0.7281 |
| 0.5929 | 3.16 | 240 | 0.7305 |
| 0.5245 | 3.42 | 260 | 0.7242 |
| 0.5291 | 3.68 | 280 | 0.7154 |
| 0.528 | 3.95 | 300 | 0.7109 |
| 0.4696 | 4.21 | 320 | 0.7257 |
| 0.4474 | 4.47 | 340 | 0.7251 |
| 0.4572 | 4.74 | 360 | 0.7252 |
| 0.4391 | 5.0 | 380 | 0.7202 |
| 0.3794 | 5.26 | 400 | 0.7462 |
| 0.3771 | 5.53 | 420 | 0.7568 |
| 0.3754 | 5.79 | 440 | 0.7453 |
| 0.3739 | 6.05 | 460 | 0.7597 |
| 0.3179 | 6.32 | 480 | 0.7803 |
| 0.3328 | 6.58 | 500 | 0.7699 |
| 0.3259 | 6.84 | 520 | 0.7710 |
| 0.3014 | 7.11 | 540 | 0.8083 |
| 0.2759 | 7.37 | 560 | 0.8017 |
| 0.2758 | 7.63 | 580 | 0.7954 |
| 0.2798 | 7.89 | 600 | 0.8003 |
| 0.2545 | 8.16 | 620 | 0.8325 |
| 0.2451 | 8.42 | 640 | 0.8282 |
| 0.2355 | 8.68 | 660 | 0.8318 |
| 0.2382 | 8.95 | 680 | 0.8300 |
| 0.2256 | 9.21 | 700 | 0.8544 |
| 0.212 | 9.47 | 720 | 0.8532 |
| 0.2108 | 9.74 | 740 | 0.8529 |
| 0.2125 | 10.0 | 760 | 0.8536 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.0
- Library
- peft
- License
- other
- Created
- May 16, 2024
- Updated
- May 20, 2024