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multi_teacher_electronic_assembly/README.md

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+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+
+# multi_teacher_electronic_assembly
+
+This model is a fine-tuned version of [/mnt/usercache/mentianyi/code/PlanPhys/model_configs/qwen2_100M_paper_2_random_pretraining](https://huggingface.co//mnt/usercache/mentianyi/code/PlanPhys/model_configs/qwen2_100M_paper_2_random_pretraining) on the multi_teacher_electronic_assembly 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: 0.0001
+- train_batch_size: 128
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 512
+- total_eval_batch_size: 16
+- 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_ratio: 0.1
+- num_epochs: 8.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.22.2