---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1755

## 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-06
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6937        | 1.0   | 130  | 0.6936          |
| 0.6782        | 2.0   | 260  | 0.6684          |
| 0.3968        | 3.0   | 390  | 0.3106          |
| 0.3238        | 4.0   | 520  | 0.2410          |
| 0.2817        | 5.0   | 650  | 0.1915          |
| 0.1955        | 6.0   | 780  | 0.2092          |
| 0.1536        | 7.0   | 910  | 0.1763          |
| 0.1352        | 8.0   | 1040 | 0.1755          |
| 0.1266        | 9.0   | 1170 | 0.1853          |
| 0.1115        | 10.0  | 1300 | 0.1805          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.19.1