End of training
Browse files- README.md +79 -0
- pytorch_model.bin +1 -1
README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: sagemaker-bert-base-intent1018_2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sagemaker-bert-base-intent1018_2
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This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5145
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- Accuracy: 0.9017
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 88 | 4.0951 | 0.0470 |
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| No log | 2.0 | 176 | 3.7455 | 0.2158 |
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| No log | 3.0 | 264 | 3.0505 | 0.4252 |
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| No log | 4.0 | 352 | 2.0489 | 0.6303 |
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| No log | 5.0 | 440 | 1.3342 | 0.7735 |
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| 2.9556 | 6.0 | 528 | 0.9592 | 0.8162 |
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| 2.9556 | 7.0 | 616 | 0.7623 | 0.8162 |
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| 2.9556 | 8.0 | 704 | 0.6262 | 0.8547 |
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| 2.9556 | 9.0 | 792 | 0.5145 | 0.9017 |
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| 2.9556 | 10.0 | 880 | 0.5328 | 0.8846 |
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| 2.9556 | 11.0 | 968 | 0.5137 | 0.8932 |
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| 0.3206 | 12.0 | 1056 | 0.5190 | 0.8846 |
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| 0.3206 | 13.0 | 1144 | 0.5158 | 0.8953 |
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| 0.3206 | 14.0 | 1232 | 0.5053 | 0.8974 |
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| 0.3206 | 15.0 | 1320 | 0.5140 | 0.8953 |
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| 0.3206 | 16.0 | 1408 | 0.5108 | 0.8996 |
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| 0.3206 | 17.0 | 1496 | 0.5282 | 0.8932 |
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| 0.0381 | 18.0 | 1584 | 0.5278 | 0.8974 |
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| 0.0381 | 19.0 | 1672 | 0.5224 | 0.8996 |
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| 0.0381 | 20.0 | 1760 | 0.5226 | 0.8996 |
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### Framework versions
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- Transformers 4.12.3
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- Pytorch 1.9.1
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 442762669
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e9aa34cee8e6ed5cd5e66ade43061af1879351c34e28c8043fa0a2b2e14efd5
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size 442762669
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