update model card README.md

README.md

@@ -0,0 +1,64 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: covid-tweets-sentiment-analysis-roberta-model
+  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-tweets-sentiment-analysis-roberta-model
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5581
+- Rmse: 0.6098
+
+## 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.7026        | 2.0   | 500  | 0.5581          | 0.6098 |
+| 0.4029        | 4.0   | 1000 | 0.6095          | 0.5859 |
+| 0.204         | 6.0   | 1500 | 0.8989          | 0.6307 |
+| 0.1046        | 8.0   | 2000 | 1.1872          | 0.5906 |
+| 0.058         | 10.0  | 2500 | 1.2907          | 0.5919 |
+
+
+### Framework versions
+
+- Transformers 4.29.0
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3