---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert_distilbert-base-uncased-15-epoch
  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. -->

# distilbert_distilbert-base-uncased-15-epoch

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3248
- Accuracy: 0.4133

## 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: 64
- eval_batch_size: 64
- 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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3078        | 1.0   | 2857  | 1.3426          | 0.3356   |
| 1.1327        | 2.0   | 5714  | 1.4079          | 0.3560   |
| 0.911         | 3.0   | 8571  | 1.5413          | 0.3789   |
| 0.7139        | 4.0   | 11428 | 1.7088          | 0.3942   |
| 0.548         | 5.0   | 14285 | 1.9117          | 0.3902   |
| 0.4389        | 6.0   | 17142 | 2.1179          | 0.3971   |
| 0.3422        | 7.0   | 19999 | 2.5687          | 0.4002   |
| 0.2707        | 8.0   | 22856 | 2.6006          | 0.4019   |
| 0.2258        | 9.0   | 25713 | 2.8582          | 0.4069   |
| 0.1817        | 10.0  | 28570 | 3.2135          | 0.4031   |
| 0.1506        | 11.0  | 31427 | 3.2640          | 0.4074   |
| 0.1285        | 12.0  | 34284 | 3.6061          | 0.4086   |
| 0.1067        | 13.0  | 37141 | 3.7931          | 0.4141   |
| 0.088         | 14.0  | 39998 | 4.1130          | 0.4129   |
| 0.0772        | 15.0  | 42855 | 4.3248          | 0.4133   |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0