metadata
license: apache-2.0
base_model: HooshvareLab/roberta-fa-zwnj-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
model-index:
- name: roberta-fa-zwnj-base_v1
results: []
roberta-fa-zwnj-base_v1
This model is a fine-tuned version of HooshvareLab/roberta-fa-zwnj-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3797
- Accuracy: 0.6288
- F1: 0.6282
- Precision: 0.6299
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: 1e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| No log | 1.0 | 221 | 1.1404 | 0.5176 | 0.4956 | 0.5475 |
| No log | 2.0 | 442 | 0.9659 | 0.6163 | 0.6136 | 0.6169 |
| 1.0628 | 3.0 | 663 | 0.9516 | 0.6436 | 0.6405 | 0.6456 |
| 1.0628 | 4.0 | 884 | 0.9857 | 0.6470 | 0.6462 | 0.6530 |
| 0.6388 | 5.0 | 1105 | 1.0326 | 0.6481 | 0.6483 | 0.6490 |
| 0.6388 | 6.0 | 1326 | 1.1403 | 0.6652 | 0.6647 | 0.6664 |
| 0.3767 | 7.0 | 1547 | 1.2419 | 0.6356 | 0.6362 | 0.6383 |
| 0.3767 | 8.0 | 1768 | 1.3099 | 0.6402 | 0.6394 | 0.6398 |
| 0.3767 | 9.0 | 1989 | 1.3632 | 0.6300 | 0.6298 | 0.6297 |
| 0.2179 | 10.0 | 2210 | 1.3797 | 0.6288 | 0.6282 | 0.6299 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2