---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-ppaverb-500000-1e-06-128
  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-ppaverb-500000-1e-06-128

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: 0.6631

## 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: 512
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6859        | 1.0   | 977   | 0.6755          |
| 0.6792        | 2.0   | 1954  | 0.6704          |
| 0.6756        | 3.0   | 2931  | 0.6678          |
| 0.6741        | 4.0   | 3908  | 0.6658          |
| 0.6733        | 5.0   | 4885  | 0.6660          |
| 0.6721        | 6.0   | 5862  | 0.6645          |
| 0.6716        | 7.0   | 6839  | 0.6637          |
| 0.6707        | 8.0   | 7816  | 0.6635          |
| 0.6688        | 9.0   | 8793  | 0.6640          |
| 0.668         | 10.0  | 9770  | 0.6637          |
| 0.6669        | 11.0  | 10747 | 0.6630          |
| 0.6665        | 12.0  | 11724 | 0.6631          |
| 0.6654        | 13.0  | 12701 | 0.6628          |
| 0.6657        | 14.0  | 13678 | 0.6628          |
| 0.6643        | 15.0  | 14655 | 0.6633          |
| 0.6628        | 16.0  | 15632 | 0.6634          |
| 0.6637        | 17.0  | 16609 | 0.6631          |


### Framework versions

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