lightblue/reranker_0.5_bincont_filt

reranker_bincont_filt_train

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the reranker_bincont_filt_train dataset. It achieves the following results on the evaluation set:

• Loss: 0.1613

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 8
• total_eval_batch_size: 8
• 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: 0.01
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.209	0.1000	3952	0.2207
0.1541	0.2000	7904	0.2108
0.1519	0.3000	11856	0.2030
0.3499	0.4000	15808	0.1939
0.1045	0.5000	19760	0.1834
0.1887	0.6000	23712	0.1770
0.2182	0.7001	27664	0.1695
0.1281	0.8001	31616	0.1645
0.1463	0.9001	35568	0.1617

Framework versions

• Transformers 4.46.1
• Pytorch 2.4.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3