---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_PrefixTuning_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_PrefixTuning_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: 14.4579

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 15.4862       | 1.0   | 157  | 20.8478         |
| 14.9721       | 2.0   | 314  | 20.7345         |
| 15.0553       | 3.0   | 471  | 20.5177         |
| 14.4627       | 4.0   | 628  | 20.2344         |
| 14.0788       | 5.0   | 785  | 19.9480         |
| 13.2092       | 6.0   | 942  | 19.6334         |
| 13.0141       | 7.0   | 1099 | 19.2349         |
| 12.5052       | 8.0   | 1256 | 18.7395         |
| 11.8852       | 9.0   | 1413 | 18.2110         |
| 11.889        | 10.0  | 1570 | 17.7415         |
| 11.2937       | 11.0  | 1727 | 17.3058         |
| 11.0163       | 12.0  | 1884 | 16.8580         |
| 10.8939       | 13.0  | 2041 | 16.3684         |
| 10.8183       | 14.0  | 2198 | 15.9196         |
| 10.353        | 15.0  | 2355 | 15.5043         |
| 10.1386       | 16.0  | 2512 | 15.1272         |
| 9.9726        | 17.0  | 2669 | 14.8365         |
| 9.8421        | 18.0  | 2826 | 14.6183         |
| 9.9193        | 19.0  | 2983 | 14.4978         |
| 9.848         | 20.0  | 3140 | 14.4579         |


### Framework versions

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