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Bert-Sentiment-Fa

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Sentiment Fa

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  1. README.md +21 -16
  2. model.safetensors +1 -1
  3. runs/Sep06_04-53-34_cc3527d1388f/events.out.tfevents.1725598445.cc3527d1388f.1304.1 +2 -2
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5224
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- - Accuracy: 0.8
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- - F1: 0.7972
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  ## Model description
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@@ -40,28 +40,33 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-06
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- - train_batch_size: 16
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  - eval_batch_size: 64
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 135 | 0.7296 | 0.7292 | 0.6649 |
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- | No log | 2.0 | 270 | 0.6285 | 0.7875 | 0.7794 |
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- | No log | 3.0 | 405 | 0.5707 | 0.8 | 0.7931 |
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- | 0.6461 | 4.0 | 540 | 0.5545 | 0.8 | 0.7936 |
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- | 0.6461 | 5.0 | 675 | 0.5248 | 0.8125 | 0.8080 |
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- | 0.6461 | 6.0 | 810 | 0.5166 | 0.8042 | 0.8001 |
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- | 0.6461 | 7.0 | 945 | 0.5170 | 0.8042 | 0.8093 |
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- | 0.3513 | 8.0 | 1080 | 0.5179 | 0.8042 | 0.8064 |
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- | 0.3513 | 9.0 | 1215 | 0.5212 | 0.8 | 0.8006 |
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- | 0.3513 | 10.0 | 1350 | 0.5224 | 0.8 | 0.7972 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1484
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+ - Accuracy: 0.8417
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+ - F1: 0.8524
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  ## Model description
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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: 32
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  - eval_batch_size: 64
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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: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 68 | 0.5099 | 0.8042 | 0.8062 |
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+ | No log | 2.0 | 136 | 0.6354 | 0.8083 | 0.8079 |
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+ | No log | 3.0 | 204 | 0.6376 | 0.8458 | 0.8575 |
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+ | No log | 4.0 | 272 | 0.8837 | 0.8292 | 0.8373 |
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+ | No log | 5.0 | 340 | 0.9432 | 0.8167 | 0.8335 |
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+ | No log | 6.0 | 408 | 0.9680 | 0.8125 | 0.8128 |
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+ | No log | 7.0 | 476 | 0.8569 | 0.8292 | 0.8402 |
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+ | 0.1247 | 8.0 | 544 | 1.0439 | 0.8542 | 0.8628 |
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+ | 0.1247 | 9.0 | 612 | 1.0181 | 0.8375 | 0.8451 |
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+ | 0.1247 | 10.0 | 680 | 1.0169 | 0.8458 | 0.8556 |
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+ | 0.1247 | 11.0 | 748 | 1.1128 | 0.8292 | 0.8348 |
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+ | 0.1247 | 12.0 | 816 | 1.1325 | 0.8333 | 0.8382 |
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+ | 0.1247 | 13.0 | 884 | 1.1458 | 0.85 | 0.8622 |
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+ | 0.1247 | 14.0 | 952 | 1.1439 | 0.85 | 0.8622 |
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+ | 0.0062 | 15.0 | 1020 | 1.1484 | 0.8417 | 0.8524 |
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  ### Framework versions
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