distilbert-fa-zwnj-base-MLM-pquad-finetuned-pquad
This model is a fine-tuned version of Gholamreza/distilbert-fa-zwnj-base-MLM-pquad on the pquad dataset. It achieves the following results on the evaluation set:
- Loss: 3.7239
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8734 | 1.0 | 4003 | 3.8111 |
| 3.5667 | 2.0 | 8006 | 3.7239 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Downloads last month
- 13
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.