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llama_2_ko_7b_wiki_QA
54data/llama_2_ko_7b_wiki_QA
llama_2_ko_7b_wiki_QA is a machine learning model from 54data. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Aug 31, 2023
Repo size
135 MB
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At a glance
- Access
- Public
- Created
- Aug 23, 2023
- Updated
- Aug 31, 2023
- SHA
- 84906d1a
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. -->
llama_2_ko_7b_wiki_QA
This model is a fine-tuned version of beomi/llama-2-ko-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1703
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8568 | 0.33 | 50 | 1.4294 |
| 1.2307 | 0.67 | 100 | 1.2169 |
| 1.1788 | 1.0 | 150 | 1.1865 |
| 1.0837 | 1.33 | 200 | 1.1810 |
| 1.1905 | 1.67 | 250 | 1.1740 |
| 1.161 | 2.0 | 300 | 1.1703 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.3
- Created
- Aug 23, 2023
- Updated
- Aug 31, 2023