transformers safetensors roberta text-generation generated_from_trainer base_model:roberta-base license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base_fine_lr0.0005_bs4_epoch20_wd0.01
  results: []
---

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# roberta-base_fine_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: 0.2481

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2947        | 1.0   | 157  | 0.3204          |
| 0.6822        | 2.0   | 314  | 0.3902          |
| 1.0581        | 3.0   | 471  | 1.2741          |
| 1.7083        | 4.0   | 628  | 1.5418          |
| 1.4489        | 5.0   | 785  | 1.5167          |
| 1.1426        | 6.0   | 942  | 1.5120          |
| 0.9551        | 7.0   | 1099 | 1.3990          |
| 0.8032        | 8.0   | 1256 | 1.2418          |
| 0.5758        | 9.0   | 1413 | 0.9339          |
| 0.5078        | 10.0  | 1570 | 1.1084          |
| 0.3889        | 11.0  | 1727 | 0.8454          |
| 0.2517        | 12.0  | 1884 | 0.8793          |
| 0.232         | 13.0  | 2041 | 0.8882          |
| 0.1593        | 14.0  | 2198 | 0.6870          |
| 0.1067        | 15.0  | 2355 | 0.5925          |
| 0.0887        | 16.0  | 2512 | 0.6818          |
| 0.0522        | 17.0  | 2669 | 0.4197          |
| 0.1269        | 18.0  | 2826 | 0.2809          |
| 0.0131        | 19.0  | 2983 | 0.2587          |
| 0.0168        | 20.0  | 3140 | 0.2481          |


### Framework versions

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