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Qwen-14B-lora-pretrain
ytcheng/Qwen-14B-lora-pretrain
Qwen-14B-lora-pretrain is a machine learning model from ytcheng. 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
- May 11, 2024
- Updated
- May 11, 2024
- SHA
- 0102256e
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. -->
Qwen-14B-lora-pretrain
This model is a fine-tuned version of Qwen/Qwen-14B on the sm_artile dataset. It achieves the following results on the evaluation set:
- Loss: 2.0396
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9974 | 0.7712 | 500 | 2.0961 |
| 2.2371 | 1.5423 | 1000 | 2.0582 |
| 2.0174 | 2.3135 | 1500 | 2.0424 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- May 11, 2024
- Updated
- May 11, 2024