---
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: baseroberta-finetuned_squadcovid
  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. -->

# baseroberta-finetuned_squadcovid

This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8426

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6662        | 0.21  | 1000 | 1.0762          |
| 0.7148        | 0.42  | 2000 | 0.9627          |
| 0.6548        | 0.64  | 3000 | 0.8933          |
| 0.601         | 0.85  | 4000 | 0.8712          |
| 0.5623        | 1.06  | 5000 | 0.8938          |
| 0.4915        | 1.27  | 6000 | 0.8678          |
| 0.4772        | 1.49  | 7000 | 0.8568          |
| 0.4709        | 1.7   | 8000 | 0.8479          |
| 0.4616        | 1.91  | 9000 | 0.8426          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2