---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_IA3_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_IA3_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: 4.8816

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 19.9021       | 1.0   | 157  | 21.8572         |
| 19.0595       | 2.0   | 314  | 20.8634         |
| 18.1837       | 3.0   | 471  | 18.9005         |
| 14.9492       | 4.0   | 628  | 15.5693         |
| 12.6827       | 5.0   | 785  | 11.7522         |
| 9.1129        | 6.0   | 942  | 8.7107          |
| 7.9692        | 7.0   | 1099 | 6.9363          |
| 6.5195        | 8.0   | 1256 | 6.1572          |
| 5.932         | 9.0   | 1413 | 5.7736          |
| 5.8208        | 10.0  | 1570 | 5.5329          |
| 5.5728        | 11.0  | 1727 | 5.3653          |
| 5.447         | 12.0  | 1884 | 5.2402          |
| 5.2935        | 13.0  | 2041 | 5.1424          |
| 5.243         | 14.0  | 2198 | 5.0646          |
| 5.143         | 15.0  | 2355 | 5.0053          |
| 5.0448        | 16.0  | 2512 | 4.9583          |
| 5.0317        | 17.0  | 2669 | 4.9230          |
| 5.0272        | 18.0  | 2826 | 4.8999          |
| 4.9883        | 19.0  | 2983 | 4.8863          |
| 4.9729        | 20.0  | 3140 | 4.8816          |


### Framework versions

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