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---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: sms-spam
results: []
datasets:
- sms_spam
language:
- en
---
<!-- 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. -->
# sms-spam
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an [sms_spam](https://huggingface.co/datasets/sms_spam) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0579
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 262 | 0.0649 |
| 0.0561 | 2.0 | 524 | 0.0449 |
| 0.0561 | 3.0 | 786 | 0.0520 |
| 0.0075 | 4.0 | 1048 | 0.0571 |
| 0.0075 | 5.0 | 1310 | 0.0579 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2 |