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Bert-Sentiment-Fa

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Sentiment Fa

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  1. README.md +23 -19
  2. model.safetensors +1 -1
  3. runs/Sep07_06-17-15_bf72b4a04449/events.out.tfevents.1725689846.bf72b4a04449.2864.14 +2 -2
README.md CHANGED
@@ -1,7 +1,6 @@
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  ---
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  library_name: transformers
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- license: apache-2.0
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- base_model: rezaFarsh/ternary_persian_sentiment_analysis
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # Bert-Sentiment-Fa
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- This model is a fine-tuned version of [rezaFarsh/ternary_persian_sentiment_analysis](https://huggingface.co/rezaFarsh/ternary_persian_sentiment_analysis) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2467
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- - Accuracy: 0.3696
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- - F1: 0.2679
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  ## Model description
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@@ -40,28 +39,33 @@ 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 | 26 | 3.0226 | 0.1739 | 0.1632 |
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- | No log | 2.0 | 52 | 2.0593 | 0.3261 | 0.2614 |
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- | No log | 3.0 | 78 | 1.6844 | 0.3696 | 0.2821 |
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- | No log | 4.0 | 104 | 1.4833 | 0.3696 | 0.2731 |
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- | No log | 5.0 | 130 | 1.3616 | 0.3913 | 0.2871 |
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- | No log | 6.0 | 156 | 1.3051 | 0.3913 | 0.2871 |
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- | No log | 7.0 | 182 | 1.2747 | 0.3913 | 0.2871 |
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- | No log | 8.0 | 208 | 1.2585 | 0.3696 | 0.2679 |
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- | No log | 9.0 | 234 | 1.2488 | 0.3913 | 0.2871 |
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- | No log | 10.0 | 260 | 1.2467 | 0.3696 | 0.2679 |
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ base_model: HooshvareLab/bert-base-parsbert-uncased
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # Bert-Sentiment-Fa
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+ This model is a fine-tuned version of [HooshvareLab/bert-base-parsbert-uncased](https://huggingface.co/HooshvareLab/bert-base-parsbert-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1461
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+ - Accuracy: 0.8208
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+ - F1: 0.8230
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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 | 0.4975 | 0.7917 | 0.7896 |
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+ | No log | 2.0 | 136 | 0.5646 | 0.8125 | 0.8163 |
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+ | No log | 3.0 | 204 | 0.6853 | 0.8167 | 0.8072 |
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+ | No log | 4.0 | 272 | 0.9142 | 0.8 | 0.7987 |
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+ | No log | 5.0 | 340 | 0.8389 | 0.8375 | 0.8393 |
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+ | No log | 6.0 | 408 | 0.8732 | 0.8208 | 0.8148 |
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+ | No log | 7.0 | 476 | 0.9233 | 0.825 | 0.8226 |
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+ | 0.1198 | 8.0 | 544 | 0.9971 | 0.8042 | 0.7896 |
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+ | 0.1198 | 9.0 | 612 | 1.0807 | 0.8167 | 0.8154 |
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+ | 0.1198 | 10.0 | 680 | 1.0949 | 0.825 | 0.8242 |
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+ | 0.1198 | 11.0 | 748 | 1.0613 | 0.8083 | 0.8098 |
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+ | 0.1198 | 12.0 | 816 | 1.0842 | 0.8083 | 0.8095 |
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+ | 0.1198 | 13.0 | 884 | 1.1327 | 0.8167 | 0.8195 |
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+ | 0.1198 | 14.0 | 952 | 1.1332 | 0.8125 | 0.8130 |
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+ | 0.0073 | 15.0 | 1020 | 1.1461 | 0.8208 | 0.8230 |
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  ### Framework versions
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