---
base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
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
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# dfm_ND

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: 0.1062
- F1-score: 0.9886

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3693        | 1.0   | 1057  | 0.5857          | 0.7432   |
| 0.1394        | 2.0   | 2114  | 0.1865          | 0.9538   |
| 0.0763        | 3.0   | 3171  | 0.2028          | 0.9537   |
| 0.0321        | 4.0   | 4228  | 0.1507          | 0.9759   |
| 0.0262        | 5.0   | 5285  | 0.1757          | 0.9752   |
| 0.0187        | 6.0   | 6342  | 0.1567          | 0.9786   |
| 0.0145        | 7.0   | 7399  | 0.1145          | 0.9846   |
| 0.002         | 8.0   | 8456  | 0.1090          | 0.9873   |
| 0.0039        | 9.0   | 9513  | 0.1237          | 0.9866   |
| 0.0036        | 10.0  | 10570 | 0.1062          | 0.9886   |


### Framework versions

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