Добавление обновлённого README.md без блоков <details>
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README.md
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---
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library_name: peft
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base_model: oopsung/llama2-7b-koNqa-test-v1
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name: d51cea0d-5ea2-4fed-9f18-0b8956498f04
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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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<br>
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# d51cea0d-5ea2-4fed-9f18-0b8956498f04
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This model is a fine-tuned version of [oopsung/llama2-7b-koNqa-test-v1](https://huggingface.co/oopsung/llama2-7b-koNqa-test-v1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2858
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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: 0.0001013
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10
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- training_steps: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.3512 | 0.0001 | 1 | 2.9002 |
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| 2.1385 | 0.0032 | 50 | 2.3814 |
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| 2.4998 | 0.0064 | 100 | 2.3346 |
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| 1.9572 | 0.0096 | 150 | 2.3092 |
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| 1.9981 | 0.0128 | 200 | 2.2858 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.0
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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