---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: distilbert-fa-zwnj-base-MLM-pquad_2
  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. -->

# distilbert-fa-zwnj-base-MLM-pquad_2

This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base](https://huggingface.co./HooshvareLab/distilbert-fa-zwnj-base) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1748

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.714         | 3.22  | 100  | 6.4352          |
| 6.4216        | 6.44  | 200  | 6.1348          |
| 6.1667        | 9.67  | 300  | 5.9233          |
| 5.9502        | 12.89 | 400  | 5.6905          |
| 5.6578        | 16.13 | 500  | 5.2831          |
| 5.379         | 19.35 | 600  | 5.1748          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2