---
base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
tags:
- generated_from_trainer
model-index:
- name: dfm_NCS
  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. -->

# dfm_NCS

This model is a fine-tuned version of [KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4472
- F1-score: 0.8111

## 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: 16
- eval_batch_size: 16
- 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 | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.493         | 1.0   | 504  | 0.4472          | 0.8111   |
| 0.349         | 2.0   | 1008 | 0.5058          | 0.8008   |
| 0.1692        | 3.0   | 1512 | 0.8419          | 0.7978   |
| 0.0965        | 4.0   | 2016 | 1.2206          | 0.7873   |
| 0.0318        | 5.0   | 2520 | 1.5007          | 0.7884   |
| 0.0193        | 6.0   | 3024 | 1.6686          | 0.7958   |
| 0.0085        | 7.0   | 3528 | 1.8701          | 0.7901   |
| 0.0075        | 8.0   | 4032 | 1.8387          | 0.7957   |
| 0.0057        | 9.0   | 4536 | 1.8554          | 0.7996   |
| 0.0006        | 10.0  | 5040 | 1.8654          | 0.7999   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1