Sentiment Fa

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: HooshvareLab/bert-fa-base-uncased
+base_model: farshadafx/Bert-Sentiment-Fa
 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 [farshadafx/Bert-Sentiment-Fa](https://huggingface.co/farshadafx/Bert-Sentiment-Fa) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0798
-- Accuracy: 0.5652
-- F1: 0.5901
+- Loss: 1.4623
+- Accuracy: 0.4783
+- F1: 0.4829
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 52   | 1.0320          | 0.4130   | 0.2269 |
-| No log        | 2.0   | 104  | 0.9651          | 0.4783   | 0.4406 |
-| No log        | 3.0   | 156  | 1.0128          | 0.5435   | 0.5541 |
-| No log        | 4.0   | 208  | 1.0869          | 0.5870   | 0.6025 |
-| No log        | 5.0   | 260  | 1.0798          | 0.5652   | 0.5901 |
+| No log        | 1.0   | 52   | 1.0841          | 0.4130   | 0.1949 |
+| No log        | 2.0   | 104  | 1.0502          | 0.4565   | 0.3982 |
+| No log        | 3.0   | 156  | 1.1478          | 0.5      | 0.5102 |
+| No log        | 4.0   | 208  | 1.2943          | 0.4783   | 0.4974 |
+| No log        | 5.0   | 260  | 1.4623          | 0.4783   | 0.4829 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 651398148

runs/Oct10_05-34-27_1a38898cabb0/events.out.tfevents.1728538482.1a38898cabb0.414.1

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