---
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: 6.5739
- Accuracy: 0.4129

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2998        | 1.0   | 5714  | 1.3409          | 0.3419   |
| 1.1366        | 2.0   | 11428 | 1.3753          | 0.3634   |
| 0.9035        | 3.0   | 17142 | 1.4999          | 0.3794   |
| 0.6883        | 4.0   | 22856 | 1.7468          | 0.3906   |
| 0.5177        | 5.0   | 28570 | 2.1011          | 0.3997   |
| 0.3968        | 6.0   | 34284 | 2.2910          | 0.4009   |
| 0.2936        | 7.0   | 39998 | 2.8000          | 0.4121   |
| 0.2403        | 8.0   | 45712 | 2.7002          | 0.4086   |
| 0.1843        | 9.0   | 51426 | 3.4014          | 0.4160   |
| 0.1478        | 10.0  | 57140 | 3.5690          | 0.4057   |
| 0.1231        | 11.0  | 62854 | 4.3858          | 0.4102   |
| 0.1027        | 12.0  | 68568 | 4.6814          | 0.4124   |
| 0.0897        | 13.0  | 74282 | 4.9962          | 0.4186   |
| 0.0823        | 14.0  | 79996 | 6.0199          | 0.4160   |
| 0.0631        | 15.0  | 85710 | 6.5739          | 0.4129   |


### Framework versions

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