---
base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
tags:
- generated_from_trainer
model-index:
- name: dfm_NC
  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_NC

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: 0.2386
- F1-score: 0.9231

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 40   | 0.2541          | 0.9087   |
| No log        | 2.0   | 80   | 0.2386          | 0.9231   |
| No log        | 3.0   | 120  | 0.2399          | 0.9199   |
| No log        | 4.0   | 160  | 0.3668          | 0.9093   |
| No log        | 5.0   | 200  | 0.4189          | 0.9093   |
| No log        | 6.0   | 240  | 0.6241          | 0.8760   |
| No log        | 7.0   | 280  | 0.5370          | 0.9093   |
| No log        | 8.0   | 320  | 0.6048          | 0.9025   |
| No log        | 9.0   | 360  | 0.6588          | 0.8891   |
| No log        | 10.0  | 400  | 0.5380          | 0.9093   |


### Framework versions

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