---
license: apache-2.0
base_model: jinaai/jina-embeddings-v2-base-en
tags:
- generated_from_trainer
model-index:
- name: jina-embeddings-v2-base-en-finetuned-legalcorpus
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

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

This model is a fine-tuned version of [jinaai/jina-embeddings-v2-base-en](https://huggingface.co/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