---
base_model: mrm8488/longformer-base-4096-finetuned-squadv2
tags:
- generated_from_trainer
model-index:
- name: MRR-sqv2-long
  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. -->

# MRR-sqv2-long

This model is a fine-tuned version of [mrm8488/longformer-base-4096-finetuned-squadv2](https://huggingface.co/mrm8488/longformer-base-4096-finetuned-squadv2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2581

## 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: 10

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.215         | 1.0   | 11811  | 1.0751          |
| 0.8617        | 2.0   | 23622  | 0.9498          |
| 0.8639        | 3.0   | 35433  | 1.0341          |
| 0.7073        | 4.0   | 47244  | 0.9740          |
| 0.6156        | 5.0   | 59055  | 1.0663          |
| 0.5489        | 6.0   | 70866  | 1.0665          |
| 0.4932        | 7.0   | 82677  | 1.2496          |
| 0.527         | 8.0   | 94488  | 1.1351          |
| 0.3722        | 9.0   | 106299 | 1.1568          |
| 0.3599        | 10.0  | 118110 | 1.2581          |


### Framework versions

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