---
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta-large-ppaobj-50000-1e-06-16
  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-large-ppaobj-50000-1e-06-16

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6878

## 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: 1e-06
- train_batch_size: 64
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.698         | 1.0   | 782  | 0.6922          |
| 0.6896        | 2.0   | 1564 | 0.6799          |
| 0.685         | 3.0   | 2346 | 0.6775          |
| 0.6836        | 4.0   | 3128 | 0.6785          |
| 0.6772        | 5.0   | 3910 | 0.6751          |
| 0.67          | 6.0   | 4692 | 0.6856          |
| 0.6664        | 7.0   | 5474 | 0.6810          |
| 0.662         | 8.0   | 6256 | 0.6878          |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1