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LLM4Cov-Qwen3-4B-SFT-Stage1 – AI Model by hez2024 | AlphaNeural AI

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hez2024/
LLM4Cov-Qwen3-4B-SFT-Stage1

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text-generation

generated_from_trainer

hez2024/LLM4Cov-Qwen3-4B-SFT-Stage0

text-generation-inference

endpoints_compatible

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LLM4Cov-Qwen3-4B-SFT-Stage1

This model is a fine-tuned version of 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