update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bertweet-base-finetuned-sentiment-analysis
+  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. -->
+
+# bertweet-base-finetuned-sentiment-analysis
+
+This model is a fine-tuned version of [cardiffnlp/bertweet-base-sentiment](https://huggingface.co/cardiffnlp/bertweet-base-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8458
+- Accuracy: 0.6426
+- F1: 0.6397
+
+## 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: 16
+- eval_batch_size: 16
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.8904        | 1.0   | 630  | 0.8509          | 0.6381   | 0.6340 |
+| 0.7655        | 2.0   | 1260 | 0.8345          | 0.6579   | 0.6559 |
+| 0.66          | 3.0   | 1890 | 0.9199          | 0.6548   | 0.6514 |
+| 0.447         | 4.0   | 2520 | 1.0324          | 0.6429   | 0.6417 |
+| 0.3585        | 5.0   | 3150 | 1.1234          | 0.6452   | 0.6424 |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.0.0
+- Tokenizers 0.12.0