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fine-tuned-arabert-random-negative4-1
aomar85/fine-tuned-arabert-random-negative4-1
fine-tuned-arabert-random-negative4-1 is a text classification model from aomar85. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 30, 2022
- Updated
- Jun 1, 2022
- SHA
- b9121634
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
fine-tuned-arabert-random-negative4-1
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0080
- Accuracy: 0.9990
- Precision: 0.9995
- Recall: 0.9993
- F1: 0.9994
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: 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0182 | 1.0 | 37483 | 0.0100 | 0.9983 | 0.9983 | 0.9997 | 0.9990 |
| 0.0098 | 2.0 | 74966 | 0.0083 | 0.9987 | 0.9995 | 0.9989 | 0.9992 |
| 0.008 | 3.0 | 112449 | 0.0072 | 0.9989 | 0.9995 | 0.9992 | 0.9993 |
| 0.0077 | 4.0 | 149932 | 0.0072 | 0.9985 | 0.9996 | 0.9986 | 0.9991 |
| 0.0062 | 5.0 | 187415 | 0.0095 | 0.9988 | 0.9993 | 0.9993 | 0.9993 |
| 0.0045 | 6.0 | 224898 | 0.0063 | 0.9991 | 0.9996 | 0.9993 | 0.9995 |
| 0.0029 | 7.0 | 262381 | 0.0092 | 0.9990 | 0.9995 | 0.9993 | 0.9994 |
| 0.0041 | 8.0 | 299864 | 0.0090 | 0.9990 | 0.9995 | 0.9993 | 0.9994 |
| 0.0022 | 9.0 | 337347 | 0.0080 | 0.9990 | 0.9995 | 0.9993 | 0.9994 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 30, 2022
- Updated
- Jun 1, 2022