---
license: mit
base_model: Rakib/roberta-base-on-cuad
tags:
- generated_from_trainer
model-index:
- name: roberta-base-on-cuad-finetuned-squad
  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-on-cuad-finetuned-squad

This model is a fine-tuned version of [Rakib/roberta-base-on-cuad](https://huggingface.co/Rakib/roberta-base-on-cuad) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.9238
- eval_runtime: 213.2462
- eval_samples_per_second: 50.599
- eval_steps_per_second: 3.165
- epoch: 2.2579
- step: 12500

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1