---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: MRR_QA_BRT_15K_UNTIL_2_08
  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_QA_BRT_15K_UNTIL_2_08

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0585

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.9713        | 1.0   | 11594  | 1.1155          |
| 0.8918        | 2.0   | 23188  | 1.0256          |
| 0.9939        | 3.0   | 34782  | 1.0284          |
| 0.7113        | 4.0   | 46376  | 0.8892          |
| 0.6961        | 5.0   | 57970  | 0.8689          |
| 0.6308        | 6.0   | 69564  | 0.8036          |
| 0.4743        | 7.0   | 81158  | 0.9601          |
| 0.4245        | 8.0   | 92752  | 0.9345          |
| 0.4031        | 9.0   | 104346 | 0.9640          |
| 0.4351        | 10.0  | 115940 | 1.0585          |


### Framework versions

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