---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: QA_SYNTHETIC_DATA_ONLY_17_AUG_BASE
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# QA_SYNTHETIC_DATA_ONLY_17_AUG_BASE

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: 0.0000

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0287        | 1.0   | 5324  | 0.0131          |
| 0.0021        | 2.0   | 10648 | 0.0128          |
| 0.0165        | 3.0   | 15972 | 0.0021          |
| 0.0335        | 4.0   | 21296 | 0.0001          |
| 0.0           | 5.0   | 26620 | 0.0035          |
| 0.0207        | 6.0   | 31944 | 0.0008          |
| 0.0127        | 7.0   | 37268 | 0.0027          |
| 0.0           | 8.0   | 42592 | 0.0000          |
| 0.0185        | 9.0   | 47916 | 0.0000          |
| 0.0           | 10.0  | 53240 | 0.0000          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3