---
license: apache-2.0
base_model: VMware/roberta-base-mrqa
tags:
- generated_from_trainer
model-index:
- name: roberta-vmw-mrqa
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/1s0nzjkc)
# roberta-vmw-mrqa

This model is a fine-tuned version of [VMware/roberta-base-mrqa](https://huggingface.co/VMware/roberta-base-mrqa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7997

## 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: 0.0002
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2285        | 1.0   | 1399 | 1.8940          |
| 1.521         | 2.0   | 2798 | 1.6821          |
| 1.0055        | 3.0   | 4197 | 1.7997          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1