---
base_model: sentence-transformers/multi-qa-distilbert-cos-v1
tags:
- generated_from_trainer
model-index:
- name: SourceResearchZ
  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. -->

# SourceResearchZ

This model is a fine-tuned version of [sentence-transformers/multi-qa-distilbert-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-distilbert-cos-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8207

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.3482        | 1.0   | 157  | 3.6940          |
| 3.4193        | 2.0   | 314  | 3.0053          |
| 3.0478        | 3.0   | 471  | 2.8417          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1