
<!-- 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. -->

# qa-fa-mdeberta-v3-base

This model is a fine-tuned version of [makhataei/qa-fa-mdeberta-v3-base](https://huggingface.co/makhataei/qa-fa-mdeberta-v3-base) on the pquad dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3455

## 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: 9.765625e-08
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0031        | 0.04  | 500   | 2.3402          |
| 0.0077        | 0.08  | 1000  | 2.3474          |
| 0.0159        | 0.12  | 1500  | 2.3491          |
| 0.0248        | 0.16  | 2000  | 2.3493          |
| 0.0176        | 0.19  | 2500  | 2.3510          |
| 0.0162        | 0.23  | 3000  | 2.3522          |
| 0.0076        | 0.27  | 3500  | 2.3542          |
| 0.016         | 0.31  | 4000  | 2.3550          |
| 0.0369        | 0.35  | 4500  | 2.3525          |
| 0.0141        | 0.39  | 5000  | 2.3535          |
| 0.0152        | 0.43  | 5500  | 2.3550          |
| 0.0215        | 0.47  | 6000  | 2.3550          |
| 0.0212        | 0.51  | 6500  | 2.3560          |
| 0.0198        | 0.55  | 7000  | 2.3566          |
| 0.0348        | 0.58  | 7500  | 2.3565          |
| 0.0331        | 0.62  | 8000  | 2.3557          |
| 0.0546        | 0.66  | 8500  | 2.3541          |
| 0.0426        | 0.7   | 9000  | 2.3539          |
| 0.0354        | 0.74  | 9500  | 2.3537          |
| 0.093         | 0.78  | 10000 | 2.3520          |
| 0.1154        | 0.82  | 10500 | 2.3515          |
| 0.2047        | 0.86  | 11000 | 2.3497          |
| 0.3703        | 0.9   | 11500 | 2.3480          |
| 0.604         | 0.94  | 12000 | 2.3465          |
| 1.1022        | 0.97  | 12500 | 2.3455          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["pquad"], "base_model": "makhataei/qa-fa-mdeberta-v3-base", "model-index": [{"name": "qa-fa-mdeberta-v3-base", "results": []}]}
transformers tensorboard safetensors deberta-v2 question-answering generated_from_trainer dataset:pquad base_model:makhataei/qa-fa-mdeberta-v3-base license:mit endpoints_compatible region:us