update model card README.md

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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+- precision
+model-index:
+- name: electra-base-emotion-Tweet_About_Disaster_Or_Not
+  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. -->
+
+# electra-base-emotion-Tweet_About_Disaster_Or_Not
+
+This model is a fine-tuned version of [bhadresh-savani/electra-base-emotion](https://huggingface.co/bhadresh-savani/electra-base-emotion) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3279
+- Accuracy: 0.8892
+- F1: 0.7273
+- Recall: 0.7850
+- Precision: 0.6774
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.4633        | 1.0   | 143  | 0.3938          | 0.8373   | 0.6490 | 0.7991 | 0.5463    |
+| 0.3566        | 2.0   | 286  | 0.3551          | 0.8575   | 0.6860 | 0.8271 | 0.5861    |
+| 0.3078        | 3.0   | 429  | 0.3416          | 0.8909   | 0.7220 | 0.7523 | 0.6940    |
+| 0.2813        | 4.0   | 572  | 0.3276          | 0.8857   | 0.7246 | 0.7991 | 0.6628    |
+| 0.2592        | 5.0   | 715  | 0.3279          | 0.8892   | 0.7273 | 0.7850 | 0.6774    |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1
+- Datasets 2.9.0
+- Tokenizers 0.12.1

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