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library_name: peft
license: other
#base_model: /data/group/project1/models/Qwen3-32B
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: widthIrplus_msg_qm9s_mb_msd
results: []
---
<!-- 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. -->
# widthIrplus_msg_qm9s_mb_msd
This model is a fine-tuned version of [/data/group/project1/models/Qwen3-32B](https://huggingface.co//data/group/project1/models/Qwen3-32B) on the QM9S_ir_train, the QM9S_uv_train, the QM9S_raman_train, the QM9S_all_train, the MB_train, the MSG_train, the MSD_ms_train, the MSD_nmr_train, the MSD_ir_train and the MSD_all_train datasets.
## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- 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
- num_epochs: 1.0
### Training results
### Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
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