---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_lora_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_lora_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: 0.0056

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 12.0309       | 1.0   | 157  | 2.8075          |
| 2.0953        | 2.0   | 314  | 1.1630          |
| 1.3141        | 3.0   | 471  | 0.3769          |
| 0.5659        | 4.0   | 628  | 0.1709          |
| 0.3778        | 5.0   | 785  | 0.1162          |
| 0.2225        | 6.0   | 942  | 0.0794          |
| 0.1871        | 7.0   | 1099 | 0.0458          |
| 0.1331        | 8.0   | 1256 | 0.0276          |
| 0.0819        | 9.0   | 1413 | 0.0264          |
| 0.0803        | 10.0  | 1570 | 0.0166          |
| 0.057         | 11.0  | 1727 | 0.0161          |
| 0.0525        | 12.0  | 1884 | 0.0178          |
| 0.0378        | 13.0  | 2041 | 0.0099          |
| 0.0357        | 14.0  | 2198 | 0.0051          |
| 0.0248        | 15.0  | 2355 | 0.0077          |
| 0.0292        | 16.0  | 2512 | 0.0047          |
| 0.0229        | 17.0  | 2669 | 0.0052          |
| 0.0227        | 18.0  | 2826 | 0.0062          |
| 0.0201        | 19.0  | 2983 | 0.0056          |
| 0.0198        | 20.0  | 3140 | 0.0056          |


### Framework versions

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