---
license: mit
base_model: KennethEnevoldsen/dfm-sentence-encoder-large
tags:
- generated_from_trainer
model-index:
- name: dfm_ND
  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_ND

This model is a fine-tuned version of [KennethEnevoldsen/dfm-sentence-encoder-large](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4530
- F1-score: 0.8129

## 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: 5e-05
- train_batch_size: 8
- 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 | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 223  | 0.4530          | 0.8129   |
| No log        | 2.0   | 446  | 0.5402          | 0.7001   |
| 0.4792        | 3.0   | 669  | 0.5906          | 0.6259   |
| 0.4792        | 4.0   | 892  | 0.5939          | 0.6259   |
| 0.5915        | 5.0   | 1115 | 0.5770          | 0.6259   |
| 0.5915        | 6.0   | 1338 | 0.5759          | 0.6259   |
| 0.5876        | 7.0   | 1561 | 0.5758          | 0.6259   |
| 0.5876        | 8.0   | 1784 | 0.5800          | 0.6333   |
| 0.5821        | 9.0   | 2007 | 0.5794          | 0.6259   |
| 0.5821        | 10.0  | 2230 | 0.5727          | 0.6333   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1