distilbert-fa-zwnj-base-ner-finetuned-imdb
This model is a fine-tuned version of 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
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Model tree for drAliMollaei/distilbert-fa-zwnj-base-ner-finetuned-imdb
Base model
HooshvareLab/distilbert-fa-zwnj-base-ner