---
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
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# 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: 1.7210

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 3    | 5.2372          |
| No log        | 2.0   | 6    | 4.5456          |
| No log        | 3.0   | 9    | 3.9316          |
| No log        | 4.0   | 12   | 3.3406          |
| No log        | 5.0   | 15   | 2.8055          |
| No log        | 6.0   | 18   | 2.4044          |
| No log        | 7.0   | 21   | 2.1014          |
| No log        | 8.0   | 24   | 1.8914          |
| No log        | 9.0   | 27   | 1.7682          |
| No log        | 10.0  | 30   | 1.7210          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0