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qwen2-cangjie-lora
Zxilly/qwen2-cangjie-lora
qwen2-cangjie-lora is a machine learning model from Zxilly. 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. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Aug 16, 2024
- Updated
- Aug 16, 2024
- SHA
- 81ecfc50
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. -->
train_08-16-2
This model is a fine-tuned version of Qwen/Qwen2-7B-Instruct on the cangjie dataset. It achieves the following results on the evaluation set:
- Loss: 0.2599
- Num Input Tokens Seen: 100663296
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.43.4
- Pytorch 2.1.0.post2+cxx11.abi
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- other
- Created
- Aug 16, 2024
- Updated
- Aug 16, 2024