---
license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L6-v2
tags:
- generated_from_trainer
model-index:
- name: all-MiniLM-L6-v2-finetuned-marc-en
  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. -->

# all-MiniLM-L6-v2-finetuned-marc-en

This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8379
- Mae: 2.1394

## 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: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mae    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.9203        | 1.0   | 250  | 1.8916          | 2.2446 |
| 1.8419        | 2.0   | 500  | 1.8713          | 2.2371 |
| 1.8385        | 3.0   | 750  | 1.8523          | 2.1957 |
| 1.8256        | 4.0   | 1000 | 1.8422          | 2.1584 |
| 1.7618        | 5.0   | 1250 | 1.8339          | 2.1625 |
| 1.8025        | 6.0   | 1500 | 1.8326          | 2.1564 |
| 1.7414        | 7.0   | 1750 | 1.8329          | 2.1629 |
| 1.7539        | 8.0   | 2000 | 1.8322          | 2.173  |
| 1.7886        | 9.0   | 2250 | 1.8290          | 2.16   |
| 1.7611        | 10.0  | 2500 | 1.8292          | 2.1456 |
| 1.7339        | 11.0  | 2750 | 1.8324          | 2.1566 |
| 1.7093        | 12.0  | 3000 | 1.8366          | 2.1406 |
| 1.7164        | 13.0  | 3250 | 1.8371          | 2.1391 |
| 1.6847        | 14.0  | 3500 | 1.8389          | 2.139  |
| 1.7202        | 15.0  | 3750 | 1.8379          | 2.1394 |


### Framework versions

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