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: 627_roberta-base_fine_lr0.005_bs4_epoch5_wd0.01
  results: []
---

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# 627_roberta-base_fine_lr0.005_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: 8.0883

## 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: 0.005
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9504        | 1.0   | 157  | 7.9955          |
| 6.9209        | 2.0   | 314  | 7.6566          |
| 6.5202        | 3.0   | 471  | 7.9209          |
| 6.4809        | 4.0   | 628  | 8.0158          |
| 6.3921        | 5.0   | 785  | 8.0883          |


### Framework versions

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