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results_qlora
oz1115/results_qlora
results_qlora is a machine learning model from oz1115. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 20, 2024
- Updated
- Jul 20, 2024
- SHA
- 522e017c
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. -->
results_qlora
This model is a fine-tuned version of oz1115/gemma-2b-it-ko_v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3518
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2353 | 0.4 | 50 | 4.1671 |
| 3.7317 | 0.8 | 100 | 3.5712 |
| 3.504 | 1.2 | 150 | 3.4571 |
| 3.3398 | 1.6 | 200 | 3.3932 |
| 3.1833 | 2.0 | 250 | 3.3614 |
| 3.1209 | 2.4 | 300 | 3.3518 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Jul 20, 2024
- Updated
- Jul 20, 2024