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Model: hez2024/LLM4Cov-Qwen3-4B-SFT-Stage1
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: hez2024/LLM4Cov-Qwen3-4B-SFT-Stage0
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: LLM4Cov-Qwen3-4B-SFT-Stage1
+  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. -->
+
+# LLM4Cov-Qwen3-4B-SFT-Stage1
+
+This model is a fine-tuned version of [hez2024/LLM4Cov-Qwen3-4B-SFT-Stage0](https://huggingface.co/hez2024/LLM4Cov-Qwen3-4B-SFT-Stage0) on the cvdp_ecov_train_stage1 dataset.
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 6
+- total_train_batch_size: 24
+- total_eval_batch_size: 32
+- 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: 0.03
+- num_epochs: 1.0
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.22.1