ferrazzipietro/review-Qwen3-8B-reas-int-065-only-loss-noprompt-3epoch

<!-- 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. -->

review-Qwen3-8B-reas-int-065-only-loss-noprompt-3epoch

This model is a fine-tuned version of Qwen/Qwen3-8B on an unknown 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: 5e-06
• —trainbatchsize: 4
• —evalbatchsize: 32
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.95) and epsilon=1e-12 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.57.0
• —Pytorch 2.10.0+cu128
• —Datasets 3.6.0
• —Tokenizers 0.22.2