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license: apache-2.0 |
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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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- f1 |
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- precision |
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- recall |
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base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca |
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model-index: |
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- name: POEMS-CAMELBERT-CA-RUN4-20-fullData |
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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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# POEMS-CAMELBERT-CA-RUN4-20-fullData |
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This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-ca](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1172 |
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- Accuracy: 0.6210 |
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- F1: 0.6210 |
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- Precision: 0.6210 |
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- Recall: 0.6210 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 1.1804 | 1.0 | 568 | 1.1103 | 0.5066 | 0.5066 | 0.5066 | 0.5066 | |
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| 0.9771 | 2.0 | 1136 | 0.9937 | 0.5847 | 0.5847 | 0.5847 | 0.5847 | |
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| 0.8057 | 3.0 | 1704 | 1.0751 | 0.5882 | 0.5882 | 0.5882 | 0.5882 | |
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| 0.6404 | 4.0 | 2272 | 1.1029 | 0.6011 | 0.6011 | 0.6011 | 0.6011 | |
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| 0.4956 | 5.0 | 2840 | 1.1222 | 0.6064 | 0.6064 | 0.6064 | 0.6064 | |
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| 0.3742 | 6.0 | 3408 | 1.2714 | 0.6077 | 0.6077 | 0.6077 | 0.6077 | |
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| 0.2881 | 7.0 | 3976 | 1.5337 | 0.5931 | 0.5931 | 0.5931 | 0.5931 | |
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| 0.2153 | 8.0 | 4544 | 1.6150 | 0.5984 | 0.5984 | 0.5984 | 0.5984 | |
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| 0.1663 | 9.0 | 5112 | 1.7246 | 0.6037 | 0.6037 | 0.6037 | 0.6037 | |
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| 0.1266 | 10.0 | 5680 | 2.0767 | 0.5984 | 0.5984 | 0.5984 | 0.5984 | |
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| 0.1064 | 11.0 | 6248 | 2.1690 | 0.6161 | 0.6161 | 0.6161 | 0.6161 | |
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| 0.0895 | 12.0 | 6816 | 2.4732 | 0.6068 | 0.6068 | 0.6068 | 0.6068 | |
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| 0.0794 | 13.0 | 7384 | 2.4153 | 0.6095 | 0.6095 | 0.6095 | 0.6095 | |
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| 0.0555 | 14.0 | 7952 | 2.8754 | 0.6037 | 0.6037 | 0.6037 | 0.6037 | |
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| 0.0502 | 15.0 | 8520 | 2.8673 | 0.6121 | 0.6121 | 0.6121 | 0.6121 | |
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| 0.0383 | 16.0 | 9088 | 2.9805 | 0.6139 | 0.6139 | 0.6139 | 0.6139 | |
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| 0.0329 | 17.0 | 9656 | 3.0402 | 0.6188 | 0.6188 | 0.6188 | 0.6188 | |
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| 0.0237 | 18.0 | 10224 | 3.0225 | 0.6263 | 0.6263 | 0.6263 | 0.6263 | |
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| 0.0173 | 19.0 | 10792 | 3.0629 | 0.6206 | 0.6206 | 0.6206 | 0.6206 | |
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| 0.0169 | 20.0 | 11360 | 3.1172 | 0.6210 | 0.6210 | 0.6210 | 0.6210 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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