---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: longformer-replicated-pos-encodings-4096-2L
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# longformer-replicated-pos-encodings-4096-2L

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9433
- Accuracy: 0.6366

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 1.0
- training_steps: 6400

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1052        | 1.0   | 6400 | 1.9433          | 0.6366   |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.12.0+cu113
- Datasets 2.6.1
- Tokenizers 0.12.1