---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: roberta-base
model-index:
- name: 627_roberta-base_adalora_lr0.05_bs4_epoch5_wd0.01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 627_roberta-base_adalora_lr0.05_bs4_epoch5_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: 7.9955

## 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: 0.05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.103         | 1.0   | 157  | 4.3243          |
| 15.3565       | 2.0   | 314  | 8.4528          |
| 8.9487        | 3.0   | 471  | 8.1856          |
| 10.2902       | 4.0   | 628  | 8.6844          |
| 8.6424        | 5.0   | 785  | 7.9955          |


### Framework versions

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