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AraBERT_token_classification_AraEval24_trunc_rand_single_fixed
MM2157/AraBERT_token_classification_AraEval24_trunc_rand_single_fixed
AraBERT_token_classification_AraEval24_trunc_rand_single_fixed is a machine learning model from MM2157. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024
- SHA
- 0c7e83e8
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. -->
AraBERT_token_classification_AraEval24_trunc_rand_single_fixed
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.1581
- Precision: 0.0264
- Recall: 0.0986
- F1: 0.0416
- Accuracy: 0.1239
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.2132 | 1.0 | 2469 | 3.1465 | 0.0195 | 0.0532 | 0.0285 | 0.1276 |
| 0.9749 | 2.0 | 4938 | 3.1130 | 0.0289 | 0.1198 | 0.0465 | 0.1600 |
| 0.7693 | 3.0 | 7407 | 3.4202 | 0.0276 | 0.1106 | 0.0442 | 0.1504 |
| 0.602 | 4.0 | 9876 | 3.8632 | 0.0308 | 0.0844 | 0.0451 | 0.1193 |
| 0.4902 | 5.0 | 12345 | 4.3511 | 0.0290 | 0.0805 | 0.0426 | 0.1166 |
| 0.3857 | 6.0 | 14814 | 4.3332 | 0.0352 | 0.1166 | 0.0540 | 0.1253 |
| 0.3151 | 7.0 | 17283 | 4.7986 | 0.0225 | 0.0737 | 0.0345 | 0.1135 |
| 0.2764 | 8.0 | 19752 | 4.9586 | 0.0266 | 0.1035 | 0.0424 | 0.1275 |
| 0.2238 | 9.0 | 22221 | 5.0601 | 0.0266 | 0.0939 | 0.0415 | 0.1202 |
| 0.1967 | 10.0 | 24690 | 5.1581 | 0.0264 | 0.0986 | 0.0416 | 0.1239 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3
- Type
- bert
- Created
- Oct 16, 2024
- Updated
- Oct 16, 2024