update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: covid-twitter-bert-v2-no_description-stance-loss-hyp
+  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-twitter-bert-v2-no_description-stance-loss-hyp
+
+This model is a fine-tuned version of [digitalepidemiologylab/covid-twitter-bert-v2](https://huggingface.co/digitalepidemiologylab/covid-twitter-bert-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6202
+- Accuracy: 0.0829
+
+## 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: 1.4275469935864394e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 40
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8211        | 1.0   | 632  | 0.6258          | 0.1153   |
+| 0.5742        | 2.0   | 1264 | 0.6202          | 0.0829   |
+| 0.4456        | 3.0   | 1896 | 0.6340          | 0.0627   |
+| 0.2163        | 4.0   | 2528 | 0.7645          | 0.0470   |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu102
+- Datasets 2.2.1
+- Tokenizers 0.12.1