---
license: cc-by-4.0
base_model: deepset/roberta-large-squad2
tags:
- generated_from_trainer
model-index:
- name: finetuned_roberta_large_custom
  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. -->

# finetuned_roberta_large_custom

This model is a fine-tuned version of [deepset/roberta-large-squad2](https://huggingface.co/deepset/roberta-large-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5061

## 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: 5e-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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.082         | 1.0   | 600  | 1.7062          |
| 1.6404        | 2.0   | 1200 | 2.7324          |
| 1.3663        | 3.0   | 1800 | 2.0644          |
| 0.8431        | 4.0   | 2400 | 2.3039          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1