---
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: roberta-large-ppaobj-20000-1e-06-8
  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-20000-1e-06-8

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: 0.6881

## 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: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6977        | 1.0   | 625  | 0.6903          |
| 0.6943        | 2.0   | 1250 | 0.6896          |
| 0.693         | 3.0   | 1875 | 0.6861          |
| 0.6857        | 4.0   | 2500 | 0.6833          |
| 0.6788        | 5.0   | 3125 | 0.6809          |
| 0.6756        | 6.0   | 3750 | 0.6789          |
| 0.6709        | 7.0   | 4375 | 0.6797          |
| 0.6625        | 8.0   | 5000 | 0.6868          |
| 0.6579        | 9.0   | 5625 | 0.6881          |


### Framework versions

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