metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: CAMeL-Lab/bert-base-arabic-camelbert-msa
model-index:
- name: POEMS-CAMELBERT-MSA-RUN1
results: []
POEMS-CAMELBERT-MSA-RUN1
This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3027
- Accuracy: 0.6095
- F1: 0.6095
- Precision: 0.6095
- Recall: 0.6095
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.1666 | 1.0 | 472 | 1.0300 | 0.5616 | 0.5616 | 0.5616 | 0.5616 |
| 0.9373 | 2.0 | 944 | 0.9775 | 0.5909 | 0.5909 | 0.5909 | 0.5909 |
| 0.6934 | 3.0 | 1416 | 1.0062 | 0.6028 | 0.6028 | 0.6028 | 0.6028 |
| 0.4482 | 4.0 | 1888 | 1.1210 | 0.6157 | 0.6157 | 0.6157 | 0.6157 |
| 0.2653 | 5.0 | 2360 | 1.3027 | 0.6095 | 0.6095 | 0.6095 | 0.6095 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2