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Mdist_8B_Chem_360K_fulldata_from_Mspec_LST_Qwen3_8B
yileitu/Mdist_8B_Chem_360K_fulldata_from_Mspec_LST_Qwen3_8B
Mdist_8B_Chem_360K_fulldata_from_Mspec_LST_Qwen3_8B is a text generation model from yileitu. Use it when you need the model to write or continue text. It is set up for transformers. 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
- transformers
- License
- other
- Model type
- qwen3
- Access
- Public
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026
- SHA
- f5fd74a3
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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. -->
aligned_ft_36w_data_M1_LST_cutoff16384_20260310_205450
This model is a fine-tuned version of Qwen/Qwen3-8B on the aligned_ft_36w_data_M1_LST dataset.
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine_with_min_lr
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.0
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- License
- other
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026