---
license: mit
base_model: timpal0l/mdeberta-v3-base-squad2
tags:
- generated_from_trainer
model-index:
- name: faq_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. -->

# faq_model

This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1331

## 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: 3e-05
- train_batch_size: 16
- 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   | 250  | 0.4844          |
| 0.4439        | 2.0   | 500  | 0.5077          |
| 0.4439        | 3.0   | 750  | 0.6605          |
| 0.1985        | 4.0   | 1000 | 0.8166          |
| 0.1985        | 5.0   | 1250 | 0.7628          |
| 0.1114        | 6.0   | 1500 | 0.9060          |
| 0.1114        | 7.0   | 1750 | 0.9887          |
| 0.0556        | 8.0   | 2000 | 1.0709          |
| 0.0556        | 9.0   | 2250 | 1.1016          |
| 0.0288        | 10.0  | 2500 | 1.1331          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2