---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_PrefixTuning_lr0.0005_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_lr0.0005_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: 3.9612

## 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: 0.0005
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 16.1454       | 1.0   | 157  | 20.9147         |
| 14.0712       | 2.0   | 314  | 19.1650         |
| 11.1417       | 3.0   | 471  | 9.2979          |
| 6.9892        | 4.0   | 628  | 6.3310          |
| 6.4327        | 5.0   | 785  | 5.8392          |
| 5.9068        | 6.0   | 942  | 5.5211          |
| 5.7042        | 7.0   | 1099 | 5.2767          |
| 5.399         | 8.0   | 1256 | 5.0556          |
| 5.117         | 9.0   | 1413 | 4.8469          |
| 5.0361        | 10.0  | 1570 | 4.6365          |
| 4.8558        | 11.0  | 1727 | 4.4569          |
| 4.6969        | 12.0  | 1884 | 4.3400          |
| 4.5535        | 13.0  | 2041 | 4.2330          |
| 4.522         | 14.0  | 2198 | 4.1549          |
| 4.3703        | 15.0  | 2355 | 4.1031          |
| 4.305         | 16.0  | 2512 | 4.0450          |
| 4.3117        | 17.0  | 2669 | 4.0057          |
| 4.2937        | 18.0  | 2826 | 3.9820          |
| 4.2778        | 19.0  | 2983 | 3.9654          |
| 4.2304        | 20.0  | 3140 | 3.9612          |


### Framework versions

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