---
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: 4.9421

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 9    | 5.7606          |
| No log        | 2.0   | 18   | 5.2134          |
| No log        | 3.0   | 27   | 4.6264          |
| No log        | 4.0   | 36   | 4.6808          |
| No log        | 5.0   | 45   | 4.6072          |
| No log        | 6.0   | 54   | 4.0322          |
| No log        | 7.0   | 63   | 4.5964          |
| No log        | 8.0   | 72   | 3.3412          |
| No log        | 9.0   | 81   | 3.3570          |
| No log        | 10.0  | 90   | 3.6391          |
| No log        | 11.0  | 99   | 3.4018          |
| No log        | 12.0  | 108  | 3.4077          |
| No log        | 13.0  | 117  | 3.6908          |
| No log        | 14.0  | 126  | 4.0146          |
| No log        | 15.0  | 135  | 3.8527          |
| No log        | 16.0  | 144  | 3.9721          |
| No log        | 17.0  | 153  | 3.9417          |
| No log        | 18.0  | 162  | 3.8664          |
| No log        | 19.0  | 171  | 3.9009          |
| No log        | 20.0  | 180  | 3.9753          |
| No log        | 21.0  | 189  | 4.0617          |
| No log        | 22.0  | 198  | 4.1928          |
| No log        | 23.0  | 207  | 4.2910          |
| No log        | 24.0  | 216  | 4.2968          |
| No log        | 25.0  | 225  | 4.5358          |
| No log        | 26.0  | 234  | 4.3997          |
| No log        | 27.0  | 243  | 4.3952          |
| No log        | 28.0  | 252  | 4.5261          |
| No log        | 29.0  | 261  | 4.4806          |
| No log        | 30.0  | 270  | 4.5944          |
| No log        | 31.0  | 279  | 4.2314          |
| No log        | 32.0  | 288  | 4.5624          |
| No log        | 33.0  | 297  | 4.6074          |
| No log        | 34.0  | 306  | 4.2452          |
| No log        | 35.0  | 315  | 4.6662          |
| No log        | 36.0  | 324  | 4.2687          |
| No log        | 37.0  | 333  | 4.7763          |
| No log        | 38.0  | 342  | 4.7474          |
| No log        | 39.0  | 351  | 4.7573          |
| No log        | 40.0  | 360  | 4.7578          |
| No log        | 41.0  | 369  | 4.9119          |
| No log        | 42.0  | 378  | 4.9752          |
| No log        | 43.0  | 387  | 4.9227          |
| No log        | 44.0  | 396  | 4.8575          |
| No log        | 45.0  | 405  | 4.8022          |
| No log        | 46.0  | 414  | 4.9180          |
| No log        | 47.0  | 423  | 4.9006          |
| No log        | 48.0  | 432  | 4.9202          |
| No log        | 49.0  | 441  | 4.9380          |
| No log        | 50.0  | 450  | 4.9421          |


### Framework versions

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