---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-text-classifier
  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-text-classifier

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: 0.2758
- Accuracy: 0.9174

## 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: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3169        | 1.0   | 632   | 0.2758          | 0.9174   |
| 0.1195        | 2.0   | 1264  | 0.2899          | 0.9218   |
| 0.092         | 3.0   | 1896  | 0.3103          | 0.9274   |
| 0.0951        | 4.0   | 2528  | 0.3161          | 0.9335   |
| 0.0435        | 5.0   | 3160  | 0.3640          | 0.9336   |
| 0.0294        | 6.0   | 3792  | 0.4195          | 0.9310   |
| 0.0444        | 7.0   | 4424  | 0.4745          | 0.9286   |
| 0.001         | 8.0   | 5056  | 0.4672          | 0.9355   |
| 0.0577        | 9.0   | 5688  | 0.5112          | 0.9282   |
| 0.0003        | 10.0  | 6320  | 0.4807          | 0.9362   |
| 0.0135        | 11.0  | 6952  | 0.5246          | 0.9319   |
| 0.0026        | 12.0  | 7584  | 0.5371          | 0.9345   |
| 0.0012        | 13.0  | 8216  | 0.5445          | 0.9351   |
| 0.0023        | 14.0  | 8848  | 0.5788          | 0.9335   |
| 0.0006        | 15.0  | 9480  | 0.5707          | 0.9335   |
| 0.0018        | 16.0  | 10112 | 0.5424          | 0.9375   |
| 0.0034        | 17.0  | 10744 | 0.5418          | 0.9345   |
| 0.0004        | 18.0  | 11376 | 0.5673          | 0.9389   |
| 0.0001        | 19.0  | 12008 | 0.5738          | 0.9349   |
| 0.01          | 20.0  | 12640 | 0.5651          | 0.9389   |
| 0.0011        | 21.0  | 13272 | 0.6153          | 0.9339   |
| 0.0224        | 22.0  | 13904 | 0.6216          | 0.9356   |
| 0.0001        | 23.0  | 14536 | 0.5976          | 0.9353   |
| 0.0417        | 24.0  | 15168 | 0.6134          | 0.9329   |
| 0.0           | 25.0  | 15800 | 0.5920          | 0.9377   |
| 0.0           | 26.0  | 16432 | 0.6247          | 0.9377   |
| 0.0           | 27.0  | 17064 | 0.6435          | 0.9372   |
| 0.0           | 28.0  | 17696 | 0.7084          | 0.9320   |
| 0.0           | 29.0  | 18328 | 0.7095          | 0.9343   |
| 0.0           | 30.0  | 18960 | 0.6708          | 0.9362   |
| 0.0           | 31.0  | 19592 | 0.6704          | 0.9384   |
| 0.0           | 32.0  | 20224 | 0.6665          | 0.9383   |
| 0.0           | 33.0  | 20856 | 0.6910          | 0.9388   |
| 0.0           | 34.0  | 21488 | 0.6861          | 0.9375   |
| 0.0           | 35.0  | 22120 | 0.6714          | 0.9386   |
| 0.0           | 36.0  | 22752 | 0.6914          | 0.9397   |
| 0.0           | 37.0  | 23384 | 0.6756          | 0.9390   |
| 0.0           | 38.0  | 24016 | 0.6780          | 0.9390   |
| 0.0           | 39.0  | 24648 | 0.6751          | 0.9394   |
| 0.0           | 40.0  | 25280 | 0.6756          | 0.9395   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.0