README.md

---
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: roberta-finetuned-squad_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-finetuned-squad_v2

This model was trained from scratch on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9064

## 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: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9129        | 0.2   | 100  | 1.4700          |
| 1.4395        | 0.39  | 200  | 1.2407          |
| 1.2356        | 0.59  | 300  | 1.0325          |
| 1.1284        | 0.78  | 400  | 0.9750          |
| 1.0821        | 0.98  | 500  | 0.9345          |
| 0.9978        | 1.18  | 600  | 0.9893          |
| 0.9697        | 1.37  | 700  | 0.9300          |
| 0.9455        | 1.57  | 800  | 0.9351          |
| 0.9322        | 1.76  | 900  | 0.9451          |
| 0.9269        | 1.96  | 1000 | 0.9064          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1