---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: plm-nsp-1000
  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. -->

# plm-nsp-1000

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: 0.5632

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6837        | 1.0   | 16   | 0.6045          |
| 0.531         | 2.0   | 32   | 0.3439          |
| 0.2985        | 3.0   | 48   | 0.3287          |
| 0.1592        | 4.0   | 64   | 0.3131          |
| 0.1162        | 5.0   | 80   | 0.3560          |
| 0.0749        | 6.0   | 96   | 0.4225          |
| 0.0636        | 7.0   | 112  | 0.5632          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1