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_lr5e-05_bs4_epoch10_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_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: 1.0944

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 19.0809       | 1.0   | 157  | 12.8652         |
| 5.1668        | 2.0   | 314  | 4.1318          |
| 3.8814        | 3.0   | 471  | 2.7055          |
| 2.6083        | 4.0   | 628  | 2.0774          |
| 2.289         | 5.0   | 785  | 1.7018          |
| 1.9444        | 6.0   | 942  | 1.4525          |
| 1.8343        | 7.0   | 1099 | 1.2551          |
| 1.6006        | 8.0   | 1256 | 1.2036          |
| 1.519         | 9.0   | 1413 | 1.1421          |
| 1.4823        | 10.0  | 1570 | 1.0944          |


### Framework versions

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