---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-finetuned-wls-manual-9ep
  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-finetuned-wls-manual-9ep

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: 1.1276

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8229        | 0.93  | 7    | 1.5338          |
| 1.4689        | 2.0   | 15   | 1.3870          |
| 1.3431        | 2.93  | 22   | 1.3524          |
| 1.2807        | 4.0   | 30   | 1.2096          |
| 1.262         | 4.93  | 37   | 1.1687          |
| 1.1874        | 6.0   | 45   | 1.1677          |
| 1.1404        | 6.93  | 52   | 1.0729          |
| 1.1456        | 8.0   | 60   | 1.1217          |
| 1.1369        | 8.4   | 63   | 1.1568          |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.11.0+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3