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

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: 0.6486
- F1-score: 0.9180

## 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   | 0.4303          | 0.8683   |
| No log        | 2.0   | 138  | 0.5203          | 0.8442   |
| No log        | 3.0   | 207  | 0.6280          | 0.8926   |
| No log        | 4.0   | 276  | 0.6846          | 0.9003   |
| No log        | 5.0   | 345  | 0.7642          | 0.9014   |
| No log        | 6.0   | 414  | 0.8076          | 0.9014   |
| No log        | 7.0   | 483  | 0.8324          | 0.9014   |
| 0.1316        | 8.0   | 552  | 0.8670          | 0.9010   |
| 0.1316        | 9.0   | 621  | 1.2453          | 0.8499   |
| 0.1316        | 10.0  | 690  | 0.6486          | 0.9180   |
| 0.1316        | 11.0  | 759  | 1.1641          | 0.8671   |
| 0.1316        | 12.0  | 828  | 0.8504          | 0.9097   |
| 0.1316        | 13.0  | 897  | 0.8590          | 0.9096   |
| 0.1316        | 14.0  | 966  | 0.8651          | 0.9096   |
| 0.0051        | 15.0  | 1035 | 0.8829          | 0.8934   |
| 0.0051        | 16.0  | 1104 | 0.9813          | 0.8848   |
| 0.0051        | 17.0  | 1173 | 0.9844          | 0.8848   |
| 0.0051        | 18.0  | 1242 | 0.9857          | 0.8848   |
| 0.0051        | 19.0  | 1311 | 0.9858          | 0.8848   |
| 0.0051        | 20.0  | 1380 | 0.9859          | 0.8848   |


### Framework versions

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