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abdulrahman-nuzha
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intfloat-e5-base-v2-arabic-fp16

Text Classification
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End of training

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  1. README.md +20 -21
  2. model.safetensors +1 -1
  3. runs/Apr16_16-11-00_c1766b0a1233/events.out.tfevents.1744819877.c1766b0a1233.2393.0 +3 -0
  4. runs/Apr16_16-11-00_c1766b0a1233/events.out.tfevents.1744820429.c1766b0a1233.2393.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [intfloat/e5-base-v2](https://huggingface.co/intfloat/e5-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6634
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- - Accuracy: 0.73
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- - Precision: 0.7305
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- - Recall: 0.73
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- - F1: 0.7301
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  ## Model description
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@@ -60,22 +60,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.0968 | 0.3636 | 50 | 0.9932 | 0.5959 | 0.4804 | 0.5959 | 0.5160 |
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- | 0.9488 | 0.7273 | 100 | 0.8474 | 0.6418 | 0.6660 | 0.6418 | 0.5688 |
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- | 0.8466 | 1.0873 | 150 | 0.7875 | 0.68 | 0.6629 | 0.68 | 0.6612 |
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- | 0.7901 | 1.4509 | 200 | 0.7713 | 0.685 | 0.6766 | 0.685 | 0.6764 |
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- | 0.7736 | 1.8145 | 250 | 0.7584 | 0.6895 | 0.6859 | 0.6895 | 0.6860 |
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- | 0.7551 | 2.1745 | 300 | 0.7051 | 0.7114 | 0.7047 | 0.7114 | 0.7044 |
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- | 0.7253 | 2.5382 | 350 | 0.7309 | 0.6868 | 0.7165 | 0.6868 | 0.6933 |
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- | 0.7172 | 2.9018 | 400 | 0.7031 | 0.7177 | 0.7156 | 0.7177 | 0.7165 |
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- | 0.6836 | 3.2618 | 450 | 0.6888 | 0.7173 | 0.7228 | 0.7173 | 0.7194 |
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- | 0.6733 | 3.6255 | 500 | 0.6981 | 0.7105 | 0.7200 | 0.7105 | 0.7136 |
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- | 0.6552 | 3.9891 | 550 | 0.6714 | 0.7341 | 0.7363 | 0.7341 | 0.7231 |
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- | 0.6086 | 4.3491 | 600 | 0.6634 | 0.73 | 0.7305 | 0.73 | 0.7301 |
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- | 0.6102 | 4.7127 | 650 | 0.6537 | 0.7382 | 0.7437 | 0.7382 | 0.7400 |
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- | 0.5929 | 5.0727 | 700 | 0.6812 | 0.7277 | 0.7362 | 0.7277 | 0.7308 |
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- | 0.5728 | 5.4364 | 750 | 0.6652 | 0.7286 | 0.7402 | 0.7286 | 0.7293 |
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- | 0.5556 | 5.8 | 800 | 0.6694 | 0.7391 | 0.7426 | 0.7391 | 0.7405 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [intfloat/e5-base-v2](https://huggingface.co/intfloat/e5-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6556
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+ - Accuracy: 0.7373
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+ - Precision: 0.7334
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+ - Recall: 0.7373
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+ - F1: 0.7326
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.0839 | 0.3636 | 50 | 0.9608 | 0.5914 | 0.6871 | 0.5914 | 0.5136 |
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+ | 0.9231 | 0.7273 | 100 | 0.8409 | 0.6418 | 0.6989 | 0.6418 | 0.5666 |
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+ | 0.842 | 1.0873 | 150 | 0.7770 | 0.6877 | 0.6719 | 0.6877 | 0.6606 |
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+ | 0.7936 | 1.4509 | 200 | 0.7662 | 0.6836 | 0.6748 | 0.6836 | 0.6608 |
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+ | 0.7691 | 1.8145 | 250 | 0.7656 | 0.6809 | 0.6841 | 0.6809 | 0.6780 |
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+ | 0.7528 | 2.1745 | 300 | 0.7134 | 0.7091 | 0.7059 | 0.7091 | 0.7005 |
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+ | 0.7215 | 2.5382 | 350 | 0.7003 | 0.7068 | 0.7161 | 0.7068 | 0.7093 |
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+ | 0.7101 | 2.9018 | 400 | 0.6866 | 0.7227 | 0.7182 | 0.7227 | 0.7128 |
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+ | 0.69 | 3.2618 | 450 | 0.6877 | 0.7164 | 0.7201 | 0.7164 | 0.7167 |
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+ | 0.6578 | 3.6255 | 500 | 0.7134 | 0.6991 | 0.7178 | 0.6991 | 0.7041 |
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+ | 0.6521 | 3.9891 | 550 | 0.6563 | 0.7377 | 0.7346 | 0.7377 | 0.7341 |
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+ | 0.6031 | 4.3491 | 600 | 0.6556 | 0.7373 | 0.7334 | 0.7373 | 0.7326 |
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+ | 0.6007 | 4.7127 | 650 | 0.6590 | 0.7341 | 0.7361 | 0.7341 | 0.7350 |
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+ | 0.5876 | 5.0727 | 700 | 0.6783 | 0.7268 | 0.7324 | 0.7268 | 0.7285 |
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+ | 0.5533 | 5.4364 | 750 | 0.6912 | 0.7205 | 0.7354 | 0.7205 | 0.7217 |
 
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  ### Framework versions
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