update model card README.md

README.md

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+---
+base_model: vinai/bertweet-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: bertweet-base_epoch3_batch4_lr2e-05_w0.01
+  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_epoch3_batch4_lr2e-05_w0.01
+
+This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5753
+- Accuracy: 0.8687
+- F1: 0.8275
+- Precision: 0.8109
+- Recall: 0.8448
+
+## 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 | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.5235        | 1.0   | 788  | 0.4170          | 0.8643   | 0.8076 | 0.8562    | 0.7642 |
+| 0.3755        | 2.0   | 1576 | 0.5068          | 0.8699   | 0.8272 | 0.8187    | 0.8358 |
+| 0.2978        | 3.0   | 2364 | 0.5753          | 0.8687   | 0.8275 | 0.8109    | 0.8448 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3