update model card README.md

README.md

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+---
+base_model: qarib/bert-base-qarib
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: OTE-NoDapt-ABSA-bert-base-qarib-OrginalHP-FineTune
+  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. -->
+
+# OTE-NoDapt-ABSA-bert-base-qarib-OrginalHP-FineTune
+
+This model is a fine-tuned version of [qarib/bert-base-qarib](https://huggingface.co/qarib/bert-base-qarib) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1348
+- Precision: 0.7488
+- Recall: 0.7723
+- F1: 0.7604
+- Accuracy: 0.9532
+
+## 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: 8e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 25
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1656        | 1.0   | 61   | 0.1196          | 0.7299    | 0.7932 | 0.7603 | 0.9528   |
+| 0.08          | 2.0   | 122  | 0.1176          | 0.7561    | 0.7678 | 0.7619 | 0.9543   |
+| 0.0501        | 3.0   | 183  | 0.1348          | 0.7488    | 0.7723 | 0.7604 | 0.9532   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3