---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: da_distilbert
  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. -->

# da_distilbert

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6301

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 130  | 2.0998          |
| No log        | 2.0   | 260  | 1.9483          |
| No log        | 3.0   | 390  | 1.8376          |
| 2.1352        | 4.0   | 520  | 1.8386          |
| 2.1352        | 5.0   | 650  | 1.7713          |
| 2.1352        | 6.0   | 780  | 1.7591          |
| 2.1352        | 7.0   | 910  | 1.7380          |
| 1.8059        | 8.0   | 1040 | 1.6942          |
| 1.8059        | 9.0   | 1170 | 1.6574          |
| 1.8059        | 10.0  | 1300 | 1.6882          |
| 1.8059        | 11.0  | 1430 | 1.6419          |
| 1.7023        | 12.0  | 1560 | 1.6442          |
| 1.7023        | 13.0  | 1690 | 1.6709          |
| 1.7023        | 14.0  | 1820 | 1.6300          |
| 1.7023        | 15.0  | 1950 | 1.6165          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.4.0.dev20240502
- Datasets 2.19.0
- Tokenizers 0.19.1