---
license: apache-2.0
base_model: distilbert-base-cased
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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4325

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 27   | 0.5354          |
| No log        | 2.0   | 54   | 0.5203          |
| No log        | 3.0   | 81   | 0.4536          |
| No log        | 4.0   | 108  | 0.4493          |
| No log        | 5.0   | 135  | 0.3256          |
| No log        | 6.0   | 162  | 0.4192          |
| No log        | 7.0   | 189  | 0.5078          |
| No log        | 8.0   | 216  | 0.4952          |
| No log        | 9.0   | 243  | 0.4654          |
| No log        | 10.0  | 270  | 0.4325          |


### Framework versions

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