Sentiment Fa

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HooshvareLab/bert-fa-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Bert-Sentiment-Fa
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.7200
+- Accuracy: 0.8549
+- F1: 0.7963
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-06
+- train_batch_size: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 143  | 0.5002          | 0.8588   | 0.7918 |
+| No log        | 2.0   | 286  | 0.5604          | 0.8549   | 0.7900 |
+| No log        | 3.0   | 429  | 0.5587          | 0.8588   | 0.8031 |
+| 0.1184        | 4.0   | 572  | 0.6008          | 0.8588   | 0.8008 |
+| 0.1184        | 5.0   | 715  | 0.6769          | 0.8549   | 0.7999 |
+| 0.1184        | 6.0   | 858  | 0.6699          | 0.8627   | 0.8036 |
+| 0.0634        | 7.0   | 1001 | 0.6765          | 0.8588   | 0.8005 |
+| 0.0634        | 8.0   | 1144 | 0.7032          | 0.8588   | 0.8041 |
+| 0.0634        | 9.0   | 1287 | 0.7172          | 0.8588   | 0.7994 |
+| 0.0634        | 10.0  | 1430 | 0.7200          | 0.8549   | 0.7963 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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runs/Sep05_04-14-03_6fef17b3cca8/events.out.tfevents.1725509658.6fef17b3cca8.1555.0

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