---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-ppaverb-5000-1e-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-base-ppaverb-5000-1e-06-8

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: 0.6899

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 157  | 0.6937          |
| 0.6962        | 2.0   | 314  | 0.6931          |
| 0.6934        | 3.0   | 471  | 0.6931          |
| 0.6934        | 4.0   | 628  | 0.6929          |
| 0.6934        | 5.0   | 785  | 0.6927          |
| 0.693         | 6.0   | 942  | 0.6926          |
| 0.6933        | 7.0   | 1099 | 0.6924          |
| 0.692         | 8.0   | 1256 | 0.6920          |
| 0.6911        | 9.0   | 1413 | 0.6918          |
| 0.6911        | 10.0  | 1570 | 0.6914          |
| 0.6907        | 11.0  | 1727 | 0.6909          |
| 0.6888        | 12.0  | 1884 | 0.6902          |
| 0.6858        | 13.0  | 2041 | 0.6896          |
| 0.6858        | 14.0  | 2198 | 0.6891          |
| 0.685         | 15.0  | 2355 | 0.6892          |
| 0.6794        | 16.0  | 2512 | 0.6892          |
| 0.6779        | 17.0  | 2669 | 0.6899          |


### Framework versions

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