metadata
base_model: HooshvareLab/bert-base-parsbert-uncased
tags:
- generated_from_trainer
model-index:
- name: persian-tweets-embeddings
results: []
persian-tweets-embeddings
This model is a fine-tuned version of HooshvareLab/bert-base-parsbert-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8415
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.362 | 1.0 | 768 | 2.0426 |
| 1.9956 | 2.0 | 1536 | 1.9560 |
| 1.9262 | 3.0 | 2304 | 1.8415 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2