update model card README.md

README.md

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+---
+license: mit
+base_model: digitalepidemiologylab/covid-twitter-bert-v2
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- recall
+- precision
+model-index:
+- name: covid_bert-e3-b16-v2-w0.01-dev1
+  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. -->
+
+# covid_bert-e3-b16-v2-w0.01-dev1
+
+This model is a fine-tuned version of [digitalepidemiologylab/covid-twitter-bert-v2](https://huggingface.co/digitalepidemiologylab/covid-twitter-bert-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9608
+- F1: 0.7913
+- Recall: 0.7913
+- Precision: 0.7913
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- 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 | F1     | Recall | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|
+| 0.8059        | 1.0   | 753  | 0.6912          | 0.7558 | 0.7558 | 0.7558    |
+| 0.5563        | 2.0   | 1506 | 0.7618          | 0.7804 | 0.7804 | 0.7804    |
+| 0.3678        | 3.0   | 2259 | 0.9608          | 0.7913 | 0.7913 | 0.7913    |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3