---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mrr_class_test_07_08
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mrr_class_test_07_08

This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4431
- Accuracy: 0.9452

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.0174        | 1.0   | 9690  | 0.9076          | 0.8586   |
| 0.631         | 2.0   | 19380 | 0.6219          | 0.8982   |
| 0.3953        | 3.0   | 29070 | 0.5143          | 0.9282   |
| 0.2039        | 4.0   | 38760 | 0.4250          | 0.9424   |
| 0.0963        | 5.0   | 48450 | 0.4431          | 0.9452   |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3