---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: huth_roberta-base_adalora_lr5e-05_bs4_epoch5_wd0.01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# huth_roberta-base_adalora_lr5e-05_bs4_epoch5_wd0.01

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1960

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1729        | 1.0   | 2217  | 0.8807          |
| 0.5793        | 2.0   | 4434  | 0.4171          |
| 0.3979        | 3.0   | 6651  | 0.2670          |
| 0.3314        | 4.0   | 8868  | 0.2132          |
| 0.2532        | 5.0   | 11085 | 0.1960          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0