transformers pytorch longformer multiple-choice generated_from_trainer dataset:sciq endpoints_compatible region:us
---
datasets:
- sciq
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: longformer_sciq
  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. -->

# longformer_sciq

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the sciq dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1479
- Accuracy: 0.932

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 25
- total_train_batch_size: 50
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 233  | 0.1650          | 0.934    |
| No log        | 2.0   | 466  | 0.1479          | 0.932    |


### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1
- Datasets 2.5.1
- Tokenizers 0.11.0
