---
base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
tags:
- generated_from_trainer
model-index:
- name: dfm2_FGN
  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. -->

# dfm2_FGN

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: 1.1487
- F1-score: 0.8233

## 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   | 120  | 0.5474          | 0.7676   |
| No log        | 2.0   | 240  | 0.7339          | 0.7596   |
| No log        | 3.0   | 360  | 0.6433          | 0.7897   |
| No log        | 4.0   | 480  | 0.9757          | 0.8049   |
| 0.4762        | 5.0   | 600  | 1.2749          | 0.7930   |
| 0.4762        | 6.0   | 720  | 1.0429          | 0.8197   |
| 0.4762        | 7.0   | 840  | 1.2813          | 0.7794   |
| 0.4762        | 8.0   | 960  | 1.1487          | 0.8233   |
| 0.0694        | 9.0   | 1080 | 1.4694          | 0.8015   |
| 0.0694        | 10.0  | 1200 | 1.5677          | 0.7864   |
| 0.0694        | 11.0  | 1320 | 1.4541          | 0.7916   |
| 0.0694        | 12.0  | 1440 | 1.4474          | 0.7941   |
| 0.0235        | 13.0  | 1560 | 1.4064          | 0.7958   |
| 0.0235        | 14.0  | 1680 | 1.4497          | 0.8008   |
| 0.0235        | 15.0  | 1800 | 1.3708          | 0.8058   |
| 0.0235        | 16.0  | 1920 | 1.4052          | 0.8058   |
| 0.0122        | 17.0  | 2040 | 1.3883          | 0.8115   |
| 0.0122        | 18.0  | 2160 | 1.4286          | 0.8126   |
| 0.0122        | 19.0  | 2280 | 1.4478          | 0.8066   |
| 0.0122        | 20.0  | 2400 | 1.4547          | 0.8066   |


### Framework versions

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