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README.md
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---
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library_name: peft
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tags:
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- llama-factory
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- generated_from_trainer
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base_model: Qwen/Qwen-14B
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model-index:
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- name: Qwen-14B-lora-pretrain
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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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# Qwen-14B-lora-pretrain
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This model is a fine-tuned version of [Qwen/Qwen-14B](https://huggingface.co/Qwen/Qwen-14B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0424
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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: 0.0001
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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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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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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: 200
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.9974 | 0.7712 | 500 | 2.0961 |
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| 2.2371 | 1.5423 | 1000 | 2.0582 |
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| 2.0174 | 2.3135 | 1500 | 2.0424 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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