---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: rh_qa_model
  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. -->

# rh_qa_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0931

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 2    | 5.9652          |
| No log        | 2.0   | 4    | 5.6992          |
| No log        | 3.0   | 6    | 5.4010          |
| No log        | 4.0   | 8    | 5.0685          |
| No log        | 5.0   | 10   | 4.7271          |
| No log        | 6.0   | 12   | 4.3931          |
| No log        | 7.0   | 14   | 4.0870          |
| No log        | 8.0   | 16   | 3.7989          |
| No log        | 9.0   | 18   | 3.5210          |
| No log        | 10.0  | 20   | 3.2570          |
| No log        | 11.0  | 22   | 3.0152          |
| No log        | 12.0  | 24   | 2.7961          |
| No log        | 13.0  | 26   | 2.6064          |
| No log        | 14.0  | 28   | 2.4482          |
| No log        | 15.0  | 30   | 2.3263          |
| No log        | 16.0  | 32   | 2.2365          |
| No log        | 17.0  | 34   | 2.1723          |
| No log        | 18.0  | 36   | 2.1290          |
| No log        | 19.0  | 38   | 2.1033          |
| No log        | 20.0  | 40   | 2.0931          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1