sumuks/full_reviewer_7b

full_review

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

• Loss: 1.6107

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
1.6658	0.5089	600	1.6607
1.5992	1.0178	1200	1.6405
1.6182	1.5267	1800	1.6241
1.5463	2.0356	2400	1.6182
1.5356	2.5445	3000	1.6117

Framework versions

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