transformers tensorboard safetensors distilbert fill-mask generated_from_trainer base_model:HooshvareLab/distilbert-fa-zwnj-base-ner autotrain_compatible endpoints_compatible region:us
---
base_model: HooshvareLab/distilbert-fa-zwnj-base-ner
tags:
- generated_from_trainer
model-index:
- name: distilbert-fa-zwnj-base-ner-finetuned-imdb
  results: []
---

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# distilbert-fa-zwnj-base-ner-finetuned-imdb

This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base-ner](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4208

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.6035        | 1.0   | 157  | 4.9251          |
| 4.8152        | 2.0   | 314  | 4.5462          |
| 4.5829        | 3.0   | 471  | 4.4394          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
