---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cdp-gls
  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. -->

# cdp-gls

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0808
- Accuracy: 0.4839

## 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.4949        | 1.0   | 10   | 3.4712          | 0.0645   |
| 3.4362        | 2.0   | 20   | 3.4293          | 0.1452   |
| 3.3557        | 3.0   | 30   | 3.3663          | 0.2581   |
| 3.2469        | 4.0   | 40   | 3.3081          | 0.3710   |
| 3.1742        | 5.0   | 50   | 3.2495          | 0.3871   |
| 3.0934        | 6.0   | 60   | 3.1932          | 0.4032   |
| 3.0142        | 7.0   | 70   | 3.1443          | 0.4516   |
| 2.9634        | 8.0   | 80   | 3.1101          | 0.4516   |
| 2.9353        | 9.0   | 90   | 3.0889          | 0.4839   |
| 2.9034        | 10.0  | 100  | 3.0808          | 0.4839   |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0