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Model: irriversible/Qwen3-1.7B-base-final
Source: Original Platform

train_2026-01-03/README.md

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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