---
base_model: allenai/scibert_scivocab_uncased
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: scibert_scivocab_uncased-finetuned-squad
  results: []
---

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

This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1550

## 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0299        | 1.0   | 8280  | 1.0939          |
| 0.7797        | 2.0   | 16560 | 0.9607          |
| 0.5542        | 3.0   | 24840 | 1.1550          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3