---
tags:
- generated_from_trainer
datasets:
- c4
metrics:
- accuracy
model-index:
- name: longformer-replicated-pos-encodings-4096-2L
  results:
  - task:
      name: Masked Language Modeling
      type: fill-mask
    dataset:
      name: c4 en
      type: c4
      args: en
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.6366230517315061
---

<!-- 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-replicated-pos-encodings-4096-2L

This model is a fine-tuned version of [data/models/longformer-replicated-pos-encodings-4096](https://huggingface.co/data/models/longformer-replicated-pos-encodings-4096) on the c4 en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9437
- 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