---
library_name: transformers
license: mit
base_model: KennethEnevoldsen/dfm-sentence-encoder-large
tags:
- generated_from_trainer
model-index:
- name: dfm_ED1
  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_ED1

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: 0.5402
- F1-score: 0.9344

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 69   | 0.3134          | 0.9098   |
| No log        | 2.0   | 138  | 0.4634          | 0.8843   |
| No log        | 3.0   | 207  | 0.5135          | 0.9097   |
| No log        | 4.0   | 276  | 0.4919          | 0.9179   |
| No log        | 5.0   | 345  | 0.6858          | 0.8768   |
| No log        | 6.0   | 414  | 0.8026          | 0.8843   |
| No log        | 7.0   | 483  | 0.5402          | 0.9344   |
| 0.156         | 8.0   | 552  | 0.6149          | 0.9180   |
| 0.156         | 9.0   | 621  | 0.6310          | 0.9180   |
| 0.156         | 10.0  | 690  | 0.6423          | 0.9180   |
| 0.156         | 11.0  | 759  | 0.6514          | 0.9180   |
| 0.156         | 12.0  | 828  | 0.6594          | 0.9180   |
| 0.156         | 13.0  | 897  | 0.6656          | 0.9180   |
| 0.156         | 14.0  | 966  | 0.6712          | 0.9180   |
| 0.0           | 15.0  | 1035 | 0.6755          | 0.9180   |
| 0.0           | 16.0  | 1104 | 0.6792          | 0.9180   |
| 0.0           | 17.0  | 1173 | 0.6824          | 0.9180   |
| 0.0           | 18.0  | 1242 | 0.6844          | 0.9180   |
| 0.0           | 19.0  | 1311 | 0.6856          | 0.9180   |
| 0.0           | 20.0  | 1380 | 0.6861          | 0.9180   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1