qwen2.5-7b-idea-review-mvp-1

This model is a fine-tuned version of Qwen/Qwen2.5-7B on the openreview_idea_review dataset. It achieves the following results on the evaluation set:

• Loss: 1.2680

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: 8
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 32
• total_eval_batch_size: 4
• 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
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.3667	0.5038	600	1.3808
1.2766	1.0076	1200	1.3507
1.2089	1.5113	1800	1.3161
1.0911	2.0151	2400	1.2887
1.0794	2.5189	3000	1.2711

Framework versions

• PEFT 0.12.0
• Transformers 4.46.1
• Pytorch 2.5.1
• Datasets 3.1.0
• Tokenizers 0.20.3