---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_adalora_lr5e-05_bs4_epoch20_wd0.01
  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. -->

# roberta-base_adalora_lr5e-05_bs4_epoch20_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: 0.9446

## 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: 8
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 20.9059       | 1.0   | 157  | 22.9422         |
| 19.6988       | 2.0   | 314  | 20.5387         |
| 16.3079       | 3.0   | 471  | 8.3490          |
| 6.1827        | 4.0   | 628  | 5.2791          |
| 5.1076        | 5.0   | 785  | 4.0504          |
| 3.821         | 6.0   | 942  | 3.1710          |
| 3.3796        | 7.0   | 1099 | 2.5361          |
| 2.6715        | 8.0   | 1256 | 2.0947          |
| 2.2           | 9.0   | 1413 | 1.7770          |
| 2.0171        | 10.0  | 1570 | 1.5355          |
| 1.7243        | 11.0  | 1727 | 1.3742          |
| 1.5945        | 12.0  | 1884 | 1.2590          |
| 1.4534        | 13.0  | 2041 | 1.1651          |
| 1.375         | 14.0  | 2198 | 1.0983          |
| 1.3396        | 15.0  | 2355 | 1.0479          |
| 1.2208        | 16.0  | 2512 | 1.0039          |
| 1.2219        | 17.0  | 2669 | 0.9751          |
| 1.2019        | 18.0  | 2826 | 0.9588          |
| 1.1798        | 19.0  | 2983 | 0.9481          |
| 1.1494        | 20.0  | 3140 | 0.9446          |


### Framework versions

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