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Qwen3-1.7B-base-final/train_2026-01-03/README.md
ModelHub XC e8031b9921 初始化项目,由ModelHub XC社区提供模型
Model: irriversible/Qwen3-1.7B-base-final
Source: Original Platform
2026-06-11 17:24:12 +08:00

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---
library_name: peft
license: other
base_model: /root/autodl-tmp/models/modelscope_cache/models/Qwen/Qwen3-1___7B-Base
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_2026-01-03
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. -->
# train_2026-01-03
This model is a fine-tuned version of [/root/autodl-tmp/models/modelscope_cache/models/Qwen/Qwen3-1___7B-Base](https://huggingface.co//root/autodl-tmp/models/modelscope_cache/models/Qwen/Qwen3-1___7B-Base) on the gpu_aiAgent_zh and the gpu_aiAgent_others 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 3.0
### Training results
### Framework versions
- PEFT 0.15.2
- Transformers 4.55.0
- Pytorch 2.2.0
- Datasets 3.6.0
- Tokenizers 0.21.4