---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: roberta-base_IA3_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_IA3_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: 1.3406

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 19.5038       | 1.0   | 157  | 18.4857         |
| 8.9314        | 2.0   | 314  | 5.8495          |
| 5.4493        | 3.0   | 471  | 4.2791          |
| 3.8453        | 4.0   | 628  | 3.4174          |
| 3.4001        | 5.0   | 785  | 2.8767          |
| 2.8518        | 6.0   | 942  | 2.5189          |
| 2.7181        | 7.0   | 1099 | 2.2672          |
| 2.3938        | 8.0   | 1256 | 2.0897          |
| 2.2025        | 9.0   | 1413 | 1.9660          |
| 2.1035        | 10.0  | 1570 | 1.8055          |
| 1.9748        | 11.0  | 1727 | 1.6968          |
| 1.8698        | 12.0  | 1884 | 1.6367          |
| 1.7843        | 13.0  | 2041 | 1.5600          |
| 1.7277        | 14.0  | 2198 | 1.5018          |
| 1.6915        | 15.0  | 2355 | 1.4518          |
| 1.5865        | 16.0  | 2512 | 1.4089          |
| 1.5934        | 17.0  | 2669 | 1.3896          |
| 1.5713        | 18.0  | 2826 | 1.3617          |
| 1.5521        | 19.0  | 2983 | 1.3453          |
| 1.5471        | 20.0  | 3140 | 1.3406          |


### Framework versions

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