jina-embeddings-v2-base-en-finetuned-legalcorpus

This model is a fine-tuned version of jinaai/jina-embeddings-v2-base-en on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.5728

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	79	5.4931
No log	2.0	158	5.2537
No log	3.0	237	5.1049
No log	4.0	316	4.9755
No log	5.0	395	4.8611
No log	6.0	474	4.7611
5.1847	7.0	553	4.6757
5.1847	8.0	632	4.6213
5.1847	9.0	711	4.5839
5.1847	10.0	790	4.5728

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0