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Qweni
sunjisen/Qweni
Qweni is a machine learning model from sunjisen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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1.5B
12.1 GB on disk
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.safetensors13.1 GB · 85%
Parameter types
How the weights are stored.
F161.5B · 94%
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. -->
output
This model is a fine-tuned version of Qwen2.5-1.5B-Instruct on the alpaca_zh_demo dataset. It achieves the following results on the evaluation set:
- Loss: 1.9959
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: 2
- total_train_batch_size: 2
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0102 | 1.1111 | 500 | 1.7723 |
| 0.5375 | 2.2222 | 1000 | 1.9768 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.3.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.3
- Type
- qwen2
- License
- other
- Created
- Nov 14, 2024
- Updated
- Nov 18, 2024