---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
datasets:
- craigslist_bargains
model-index:
- name: roberta-base-finetuned-imdb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base-finetuned-on-craigslist-bargains

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the craigslist_bargains dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4410
- Perplexity: 4.23

## 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: 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7187        | 1.0   | 179  | 1.4963          |
| 1.5401        | 2.0   | 358  | 1.4530          |
| 1.5106        | 3.0   | 537  | 1.3912          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0