---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_lora_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_lora_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: 0.3786

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 19.0917       | 1.0   | 157  | 12.3781         |
| 5.0512        | 2.0   | 314  | 4.0762          |
| 3.8203        | 3.0   | 471  | 2.6873          |
| 2.586         | 4.0   | 628  | 2.0339          |
| 2.2522        | 5.0   | 785  | 1.6467          |
| 1.8436        | 6.0   | 942  | 1.2936          |
| 1.7033        | 7.0   | 1099 | 1.0691          |
| 1.4103        | 8.0   | 1256 | 0.8708          |
| 1.2267        | 9.0   | 1413 | 0.7359          |
| 1.1845        | 10.0  | 1570 | 0.6333          |
| 1.0321        | 11.0  | 1727 | 0.5510          |
| 0.9554        | 12.0  | 1884 | 0.5251          |
| 0.897         | 13.0  | 2041 | 0.4977          |
| 0.8424        | 14.0  | 2198 | 0.4571          |
| 0.8221        | 15.0  | 2355 | 0.4298          |
| 0.7638        | 16.0  | 2512 | 0.4095          |
| 0.7494        | 17.0  | 2669 | 0.4057          |
| 0.751         | 18.0  | 2826 | 0.3920          |
| 0.7365        | 19.0  | 2983 | 0.3818          |
| 0.7312        | 20.0  | 3140 | 0.3786          |


### Framework versions

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