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# qa-persian-albert-fa-zwnj-base-v2

This model is a fine-tuned version of [makhataei/qa-persian-albert-fa-zwnj-base-v2](https://huggingface.co/makhataei/qa-persian-albert-fa-zwnj-base-v2) on the pquad dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1293

## 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: 4.8828125e-08
- 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0066        | 0.12  | 500   | 2.1456          |
| 0.0278        | 0.25  | 1000  | 2.2019          |
| 0.0904        | 0.38  | 1500  | 2.2192          |
| 0.1574        | 0.5   | 2000  | 2.2146          |
| 0.1628        | 0.62  | 2500  | 2.2076          |
| 0.1991        | 0.75  | 3000  | 2.1965          |
| 0.2063        | 0.88  | 3500  | 2.1837          |
| 0.2293        | 1.0   | 4000  | 2.1688          |
| 0.1453        | 1.12  | 4500  | 2.1645          |
| 0.1307        | 1.25  | 5000  | 2.1616          |
| 0.1363        | 1.38  | 5500  | 2.1594          |
| 0.1286        | 1.5   | 6000  | 2.1575          |
| 0.1323        | 1.62  | 6500  | 2.1546          |
| 0.1243        | 1.75  | 7000  | 2.1538          |
| 0.13          | 1.88  | 7500  | 2.1506          |
| 0.1245        | 2.0   | 8000  | 2.1489          |
| 0.1295        | 2.12  | 8500  | 2.1478          |
| 0.1318        | 2.25  | 9000  | 2.1450          |
| 0.1382        | 2.38  | 9500  | 2.1433          |
| 0.1237        | 2.5   | 10000 | 2.1430          |
| 0.1369        | 2.62  | 10500 | 2.1404          |
| 0.1226        | 2.75  | 11000 | 2.1390          |
| 0.1314        | 2.88  | 11500 | 2.1377          |
| 0.1241        | 3.0   | 12000 | 2.1370          |
| 0.1223        | 3.12  | 12500 | 2.1368          |
| 0.1286        | 3.25  | 13000 | 2.1358          |
| 0.1289        | 3.38  | 13500 | 2.1350          |
| 0.1207        | 3.5   | 14000 | 2.1341          |
| 0.1374        | 3.62  | 14500 | 2.1330          |
| 0.1331        | 3.75  | 15000 | 2.1319          |
| 0.1322        | 3.88  | 15500 | 2.1311          |
| 0.1264        | 4.0   | 16000 | 2.1308          |
| 0.1271        | 4.12  | 16500 | 2.1302          |
| 0.1233        | 4.25  | 17000 | 2.1301          |
| 0.1357        | 4.38  | 17500 | 2.1296          |
| 0.1245        | 4.5   | 18000 | 2.1295          |
| 0.1329        | 4.62  | 18500 | 2.1294          |
| 0.1193        | 4.75  | 19000 | 2.1293          |
| 0.1345        | 4.88  | 19500 | 2.1293          |
| 0.1275        | 5.0   | 20000 | 2.1293          |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["pquad"], "base_model": "makhataei/qa-persian-albert-fa-zwnj-base-v2", "model-index": [{"name": "qa-persian-albert-fa-zwnj-base-v2", "results": []}]}
transformers tensorboard safetensors albert question-answering generated_from_trainer dataset:pquad base_model:makhataei/qa-persian-albert-fa-zwnj-base-v2 license:apache-2.0 endpoints_compatible region:us