achDev/finetunning

1---2base_model: aubmindlab/bert-base-arabertv23tags:4- generated_from_trainer5metrics:6- accuracy7model-index:8- name: finetunning9  results: []10---11 12<!-- This model card has been generated automatically according to the information the Trainer had access to. You13should probably proofread and complete it, then remove this comment. -->14 15# finetunning16 17This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on an unknown dataset.18It achieves the following results on the evaluation set:19- Loss: 0.330820- Accuracy: 0.949421 22## Model description23 24More information needed25 26## Intended uses & limitations27 28More information needed29 30## Training and evaluation data31 32More information needed33 34## Training procedure35 36### Training hyperparameters37 38The following hyperparameters were used during training:39- learning_rate: 2e-0540- train_batch_size: 3241- eval_batch_size: 3242- seed: 4243- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-0844- lr_scheduler_type: linear45- num_epochs: 1046 47### Training results48 49| Training Loss | Epoch | Step  | Validation Loss | Accuracy |50|:-------------:|:-----:|:-----:|:---------------:|:--------:|51| 0.2049        | 1.0   | 1250  | 0.1725          | 0.9478   |52| 0.1392        | 2.0   | 2500  | 0.1712          | 0.9456   |53| 0.0982        | 3.0   | 3750  | 0.1812          | 0.9476   |54| 0.0769        | 4.0   | 5000  | 0.2262          | 0.9472   |55| 0.0454        | 5.0   | 6250  | 0.2438          | 0.9504   |56| 0.0364        | 6.0   | 7500  | 0.2611          | 0.9496   |57| 0.0235        | 7.0   | 8750  | 0.3145          | 0.9476   |58| 0.015         | 8.0   | 10000 | 0.3103          | 0.9494   |59| 0.0131        | 9.0   | 11250 | 0.3279          | 0.9492   |60| 0.0082        | 10.0  | 12500 | 0.3308          | 0.9494   |61 62 63### Framework versions64 65- Transformers 4.39.366- Pytorch 2.1.267- Datasets 2.18.068- Tokenizers 0.15.269