metadata
base_model: PureFighter/autotrain-topic-classification
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: arabertv2-topic-classification-finetuned
results: []
arabertv2-topic-classification-finetuned
This model is a fine-tuned version of PureFighter/autotrain-topic-classification on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5776
- Accuracy: 0.8383
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 | Accuracy |
|---|---|---|---|---|
| 1.1143 | 0.6667 | 250 | 0.9106 | 0.7455 |
| 0.573 | 1.3333 | 500 | 0.6648 | 0.7994 |
| 0.5023 | 2.0 | 750 | 0.6021 | 0.8323 |
| 0.3985 | 2.6667 | 1000 | 0.5776 | 0.8383 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.2
- Datasets 2.20.0
- Tokenizers 0.19.1