crossencoder-airline-refine-010

This model is a fine-tuned version of cross-encoder/stsb-roberta-large on the None dataset. It achieves the following results on the evaluation set:

• Loss: 8.0523

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-08
• 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: cosine
• lr_scheduler_warmup_steps: 500
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
15.341	1.0	157	14.5631
12.2879	2.0	314	13.3058
12.5681	3.0	471	11.4717
12.8002	4.0	628	9.8398
10.1409	5.0	785	8.8337
9.4818	6.0	942	8.1771
9.277	7.0	1099	7.7594
9.2643	8.0	1256	7.5311
8.7124	9.0	1413	7.4428
8.9775	10.0	1570	7.4347

Framework versions

• Transformers 4.38.1
• Pytorch 2.0.1
• Datasets 2.17.1
• Tokenizers 0.15.2