Sentiment Fa

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 1.1484
-- Accuracy: 0.8417
-- F1: 0.8524
+- Loss: 1.0154
+- Accuracy: 0.8333
+- F1: 0.8456
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 5e-06
 - train_batch_size: 32
 - eval_batch_size: 64
 - seed: 42
@@ -52,21 +52,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 68   | 0.5099          | 0.8042   | 0.8062 |
-| No log        | 2.0   | 136  | 0.6354          | 0.8083   | 0.8079 |
-| No log        | 3.0   | 204  | 0.6376          | 0.8458   | 0.8575 |
-| No log        | 4.0   | 272  | 0.8837          | 0.8292   | 0.8373 |
-| No log        | 5.0   | 340  | 0.9432          | 0.8167   | 0.8335 |
-| No log        | 6.0   | 408  | 0.9680          | 0.8125   | 0.8128 |
-| No log        | 7.0   | 476  | 0.8569          | 0.8292   | 0.8402 |
-| 0.1247        | 8.0   | 544  | 1.0439          | 0.8542   | 0.8628 |
-| 0.1247        | 9.0   | 612  | 1.0181          | 0.8375   | 0.8451 |
-| 0.1247        | 10.0  | 680  | 1.0169          | 0.8458   | 0.8556 |
-| 0.1247        | 11.0  | 748  | 1.1128          | 0.8292   | 0.8348 |
-| 0.1247        | 12.0  | 816  | 1.1325          | 0.8333   | 0.8382 |
-| 0.1247        | 13.0  | 884  | 1.1458          | 0.85     | 0.8622 |
-| 0.1247        | 14.0  | 952  | 1.1439          | 0.85     | 0.8622 |
-| 0.0062        | 15.0  | 1020 | 1.1484          | 0.8417   | 0.8524 |
+| No log        | 1.0   | 68   | 0.5588          | 0.8333   | 0.8419 |
+| No log        | 2.0   | 136  | 0.5678          | 0.8417   | 0.8557 |
+| No log        | 3.0   | 204  | 0.6083          | 0.8208   | 0.8311 |
+| No log        | 4.0   | 272  | 0.6749          | 0.8167   | 0.8285 |
+| No log        | 5.0   | 340  | 0.7690          | 0.8292   | 0.8424 |
+| No log        | 6.0   | 408  | 0.8706          | 0.8208   | 0.8328 |
+| No log        | 7.0   | 476  | 0.8554          | 0.8292   | 0.8424 |
+| 0.0725        | 8.0   | 544  | 0.8950          | 0.825    | 0.8390 |
+| 0.0725        | 9.0   | 612  | 0.9200          | 0.825    | 0.8390 |
+| 0.0725        | 10.0  | 680  | 0.9511          | 0.8292   | 0.8455 |
+| 0.0725        | 11.0  | 748  | 0.9698          | 0.8375   | 0.8490 |
+| 0.0725        | 12.0  | 816  | 0.9829          | 0.8333   | 0.8456 |
+| 0.0725        | 13.0  | 884  | 1.0022          | 0.8333   | 0.8456 |
+| 0.0725        | 14.0  | 952  | 1.0130          | 0.8333   | 0.8456 |
+| 0.0167        | 15.0  | 1020 | 1.0154          | 0.8333   | 0.8456 |
 
 
 ### Framework versions

model.safetensors

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 size 651398148

runs/Sep06_05-21-28_cc3527d1388f/events.out.tfevents.1725600098.cc3527d1388f.1304.2

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 version https://git-lfs.github.com/spec/v1
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