Sentiment Fa

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: HooshvareLab/bert-fa-base-uncased
+base_model: dadashzadeh/roberta-sentiment-persian
 tags:
 - generated_from_trainer
 metrics:
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Bert-Sentiment-Fa
 
-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.
+This model is a fine-tuned version of [dadashzadeh/roberta-sentiment-persian](https://huggingface.co/dadashzadeh/roberta-sentiment-persian) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1790
-- Accuracy: 0.8167
-- F1: 0.8174
+- Loss: 1.3240
+- Accuracy: 0.8375
+- F1: 0.8225
 
 ## Model description
 
@@ -40,38 +40,33 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 32
-- eval_batch_size: 64
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 68   | 0.6093          | 0.7583   | 0.7592 |
-| No log        | 2.0   | 136  | 0.5057          | 0.8125   | 0.8093 |
-| No log        | 3.0   | 204  | 0.5610          | 0.8125   | 0.8172 |
-| No log        | 4.0   | 272  | 0.7870          | 0.7958   | 0.7862 |
-| No log        | 5.0   | 340  | 0.8404          | 0.8042   | 0.8105 |
-| No log        | 6.0   | 408  | 0.8729          | 0.8208   | 0.8256 |
-| No log        | 7.0   | 476  | 0.9832          | 0.8292   | 0.8322 |
-| 0.1891        | 8.0   | 544  | 1.0597          | 0.825    | 0.8288 |
-| 0.1891        | 9.0   | 612  | 1.1262          | 0.8208   | 0.8184 |
-| 0.1891        | 10.0  | 680  | 1.1224          | 0.8208   | 0.8260 |
-| 0.1891        | 11.0  | 748  | 1.1524          | 0.8167   | 0.8188 |
-| 0.1891        | 12.0  | 816  | 1.1460          | 0.8042   | 0.8055 |
-| 0.1891        | 13.0  | 884  | 1.1633          | 0.8167   | 0.8202 |
-| 0.1891        | 14.0  | 952  | 1.1620          | 0.8167   | 0.8177 |
-| 0.0077        | 15.0  | 1020 | 1.1790          | 0.8167   | 0.8174 |
+| No log        | 1.0   | 270  | 0.6400          | 0.8292   | 0.8140 |
+| 0.256         | 2.0   | 540  | 0.8620          | 0.8083   | 0.7919 |
+| 0.256         | 3.0   | 810  | 0.9867          | 0.8375   | 0.8239 |
+| 0.1045        | 4.0   | 1080 | 1.0124          | 0.8375   | 0.8213 |
+| 0.1045        | 5.0   | 1350 | 1.0423          | 0.825    | 0.8135 |
+| 0.0397        | 6.0   | 1620 | 1.3452          | 0.8292   | 0.8136 |
+| 0.0397        | 7.0   | 1890 | 1.1964          | 0.8333   | 0.8192 |
+| 0.0119        | 8.0   | 2160 | 1.3196          | 0.8292   | 0.8140 |
+| 0.0119        | 9.0   | 2430 | 1.3148          | 0.8292   | 0.8138 |
+| 0.0043        | 10.0  | 2700 | 1.3240          | 0.8375   | 0.8225 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.0+cu121
-- Datasets 2.21.0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
 - Tokenizers 0.19.1

model.safetensors

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 size 473225820

runs/Oct04_17-00-57_76f9cef43f30/events.out.tfevents.1728061269.76f9cef43f30.1160.1

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