crossencoder-marco-MiniLM-L-6-v2-refine

This model is a fine-tuned version of cross-encoder/ms-marco-MiniLM-L-6-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0504

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
58.7177	1.0	63	37.5426
0.6125	2.0	126	0.4536
0.1224	3.0	189	0.0591

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.15.1