safetensors generated_from_trainer base_model:roberta-base license:mit region:us
---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base_lora_lr0.0005_bs4_epoch10_wd0.01
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base_lora_lr0.0005_bs4_epoch10_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: 0.0110

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 12.0333       | 1.0   | 157  | 2.7824          |
| 2.1556        | 2.0   | 314  | 1.2918          |
| 1.3955        | 3.0   | 471  | 0.4040          |
| 0.5579        | 4.0   | 628  | 0.1303          |
| 0.3681        | 5.0   | 785  | 0.0816          |
| 0.221         | 6.0   | 942  | 0.0458          |
| 0.1793        | 7.0   | 1099 | 0.0235          |
| 0.1137        | 8.0   | 1256 | 0.0154          |
| 0.0809        | 9.0   | 1413 | 0.0155          |
| 0.0741        | 10.0  | 1570 | 0.0110          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
