---
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bert-finetuned-uncased-squad_v2
  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. -->

# bert-finetuned-uncased-squad_v2

This model was trained from scratch on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2041

## 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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2307        | 0.2   | 100  | 1.8959          |
| 1.9581        | 0.39  | 200  | 1.4856          |
| 1.6358        | 0.59  | 300  | 1.3948          |
| 1.4964        | 0.78  | 400  | 1.2934          |
| 1.4169        | 0.98  | 500  | 1.2605          |
| 1.327         | 1.18  | 600  | 1.2218          |
| 1.2763        | 1.37  | 700  | 1.2539          |
| 1.2755        | 1.57  | 800  | 1.2090          |
| 1.251         | 1.76  | 900  | 1.2041          |
| 1.229         | 1.96  | 1000 | 1.2159          |


### Framework versions

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