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llama-finetune-qwen3-4b-MAP_math
K2Tilly/llama-finetune-qwen3-4b-MAP_math
llama-finetune-qwen3-4b-MAP_math is a text generation model from K2Tilly. Use it when you need the model to write or continue text. 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
- Task
- Text Generation
- Library
- peft
- License
- other
- Access
- Public
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025
- SHA
- 4efd9969
Try a prompt
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_run
This model is a fine-tuned version of Qwen/Qwen3-4B-Instruct-2507 on the qwen3_math_misconception_sharegpt dataset. It achieves the following results on the evaluation set:
- Loss: 0.1027
- Num Input Tokens Seen: 41149088
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.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_steps: 200
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.17.1
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text Generation
- Library
- peft
- License
- other
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025