---
base_model: mrm8488/longformer-base-4096-finetuned-squadv2
tags:
- generated_from_trainer
model-index:
- name: MRR-Latest-28-7
  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-Latest-28-7

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: 1.2367

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9726        | 1.0   | 1260  | 0.8897          |
| 0.7982        | 2.0   | 2520  | 1.0177          |
| 0.6725        | 3.0   | 3780  | 1.0727          |
| 0.598         | 4.0   | 5040  | 0.8103          |
| 0.6103        | 5.0   | 6300  | 0.9380          |
| 0.5814        | 6.0   | 7560  | 0.8953          |
| 0.4875        | 7.0   | 8820  | 0.9270          |
| 0.4825        | 8.0   | 10080 | 1.0449          |
| 0.4625        | 9.0   | 11340 | 1.1749          |
| 0.3471        | 10.0  | 12600 | 1.2367          |


### Framework versions

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