update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+- precision
+model-index:
+- name: ernie-2.0-base-en-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. -->
+
+# ernie-2.0-base-en-Tweet_About_Disaster_Or_Not
+
+This model is a fine-tuned version of [nghuyong/ernie-2.0-base-en](https://huggingface.co/nghuyong/ernie-2.0-base-en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3622
+- Accuracy: 0.9120
+- F1: 0.7788
+- Recall: 0.8341
+- Precision: 0.7303
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.347         | 1.0   | 143  | 0.2663          | 0.8777   | 0.7342 | 0.9100 | 0.6154    |
+| 0.2192        | 2.0   | 286  | 0.2292          | 0.9156   | 0.7876 | 0.8436 | 0.7386    |
+| 0.132         | 3.0   | 429  | 0.2629          | 0.9129   | 0.7843 | 0.8531 | 0.7258    |
+| 0.0767        | 4.0   | 572  | 0.3266          | 0.9120   | 0.7807 | 0.8436 | 0.7265    |
+| 0.0532        | 5.0   | 715  | 0.3622          | 0.9120   | 0.7788 | 0.8341 | 0.7303    |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1
+- Datasets 2.9.0
+- Tokenizers 0.12.1