update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: Sentiment-Analysis-on-Twitter-BCS
+  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. -->
+
+# Sentiment-Analysis-on-Twitter-BCS
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1303
+- Accuracy: 0.9615
+- Precision: 0.7730
+- Recall: 0.6384
+- F1: 0.6993
+- Roc Auc: 0.9701
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
+| 0.211         | 1.0   | 1798 | 0.1622          | 0.9515   | 0.6769    | 0.5893 | 0.6301 | 0.9417  |
+| 0.1369        | 2.0   | 3596 | 0.1568          | 0.9568   | 0.7009    | 0.6696 | 0.6849 | 0.9646  |
+| 0.1118        | 3.0   | 5394 | 0.1303          | 0.9615   | 0.7730    | 0.6384 | 0.6993 | 0.9701  |
+| 0.0887        | 4.0   | 7192 | 0.1532          | 0.9631   | 0.8011    | 0.6295 | 0.7050 | 0.9708  |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.0
+- Tokenizers 0.13.3