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POEMS-CAMELBERT-CA-RUN4-20-fullDatafreez

Text Classification
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Safetensors
bert
Generated from Trainer
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End of training

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  1. README.md +22 -29
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,5 +1,6 @@
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  ---
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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:
@@ -7,7 +8,6 @@ metrics:
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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-fullDatafreez
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  results: []
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 2.7801
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- - Accuracy: 0.6392
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- - F1: 0.6392
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- - Precision: 0.6392
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- - Recall: 0.6392
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  ## Model description
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@@ -49,32 +49,25 @@ The following hyperparameters were used during training:
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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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- | 1.1829 | 1.0 | 568 | 1.0365 | 0.5576 | 0.5576 | 0.5576 | 0.5576 |
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- | 1.0039 | 2.0 | 1136 | 0.9696 | 0.5895 | 0.5895 | 0.5895 | 0.5895 |
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- | 0.8669 | 3.0 | 1704 | 1.0291 | 0.5838 | 0.5838 | 0.5838 | 0.5838 |
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- | 0.7361 | 4.0 | 2272 | 1.0234 | 0.6024 | 0.6024 | 0.6024 | 0.6024 |
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- | 0.6082 | 5.0 | 2840 | 1.0185 | 0.6219 | 0.6219 | 0.6219 | 0.6219 |
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- | 0.4956 | 6.0 | 3408 | 1.1033 | 0.6219 | 0.6219 | 0.6219 | 0.6219 |
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- | 0.3904 | 7.0 | 3976 | 1.2671 | 0.6055 | 0.6055 | 0.6055 | 0.6055 |
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- | 0.3101 | 8.0 | 4544 | 1.3479 | 0.6228 | 0.6228 | 0.6228 | 0.6228 |
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- | 0.2398 | 9.0 | 5112 | 1.5939 | 0.6175 | 0.6175 | 0.6175 | 0.6175 |
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- | 0.1912 | 10.0 | 5680 | 1.6243 | 0.6188 | 0.6188 | 0.6188 | 0.6188 |
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- | 0.1523 | 11.0 | 6248 | 1.6882 | 0.6321 | 0.6321 | 0.6321 | 0.6321 |
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- | 0.1244 | 12.0 | 6816 | 1.7997 | 0.6405 | 0.6405 | 0.6405 | 0.6405 |
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- | 0.0994 | 13.0 | 7384 | 2.0695 | 0.6472 | 0.6472 | 0.6472 | 0.6472 |
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- | 0.0931 | 14.0 | 7952 | 2.2890 | 0.6356 | 0.6356 | 0.6356 | 0.6356 |
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- | 0.0739 | 15.0 | 8520 | 2.4964 | 0.6170 | 0.6170 | 0.6170 | 0.6170 |
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- | 0.0643 | 16.0 | 9088 | 2.5723 | 0.6387 | 0.6387 | 0.6387 | 0.6387 |
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- | 0.0523 | 17.0 | 9656 | 2.5685 | 0.6410 | 0.6410 | 0.6410 | 0.6410 |
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- | 0.0365 | 18.0 | 10224 | 2.6118 | 0.6374 | 0.6374 | 0.6374 | 0.6374 |
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- | 0.0372 | 19.0 | 10792 | 2.8254 | 0.6352 | 0.6352 | 0.6352 | 0.6352 |
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- | 0.0301 | 20.0 | 11360 | 2.7801 | 0.6392 | 0.6392 | 0.6392 | 0.6392 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - f1
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  - precision
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  - recall
 
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  model-index:
12
  - name: POEMS-CAMELBERT-CA-RUN4-20-fullDatafreez
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  results: []
 
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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: 1.9281
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+ - Accuracy: 0.6272
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+ - F1: 0.6272
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+ - Precision: 0.6272
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+ - Recall: 0.6272
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  ## Model description
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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: 13
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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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+ | 1.1788 | 1.0 | 568 | 1.0292 | 0.5625 | 0.5625 | 0.5625 | 0.5625 |
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+ | 0.9947 | 2.0 | 1136 | 0.9846 | 0.5691 | 0.5691 | 0.5691 | 0.5691 |
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+ | 0.8545 | 3.0 | 1704 | 1.0733 | 0.5802 | 0.5802 | 0.5802 | 0.5802 |
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+ | 0.7233 | 4.0 | 2272 | 1.0215 | 0.6090 | 0.6090 | 0.6090 | 0.6090 |
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+ | 0.6035 | 5.0 | 2840 | 0.9992 | 0.6348 | 0.6348 | 0.6348 | 0.6348 |
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+ | 0.4944 | 6.0 | 3408 | 1.1378 | 0.6179 | 0.6179 | 0.6179 | 0.6179 |
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+ | 0.3977 | 7.0 | 3976 | 1.2612 | 0.6188 | 0.6188 | 0.6188 | 0.6188 |
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+ | 0.3079 | 8.0 | 4544 | 1.2490 | 0.6365 | 0.6365 | 0.6365 | 0.6365 |
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+ | 0.2381 | 9.0 | 5112 | 1.5318 | 0.6139 | 0.6139 | 0.6139 | 0.6139 |
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+ | 0.1924 | 10.0 | 5680 | 1.6346 | 0.6268 | 0.6268 | 0.6268 | 0.6268 |
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+ | 0.1446 | 11.0 | 6248 | 1.7044 | 0.6303 | 0.6303 | 0.6303 | 0.6303 |
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+ | 0.1195 | 12.0 | 6816 | 1.8142 | 0.625 | 0.625 | 0.625 | 0.625 |
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+ | 0.0909 | 13.0 | 7384 | 1.9281 | 0.6272 | 0.6272 | 0.6272 | 0.6272 |
 
 
 
 
 
 
 
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  ### Framework versions
model.safetensors CHANGED
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