update model card README.md

README.md

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+---
+base_model: vinai/bertweet-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: bertweet-large_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-large_epoch3_batch4_lr2e-05_w0.01
+
+This model is a fine-tuned version of [vinai/bertweet-large](https://huggingface.co/vinai/bertweet-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5167
+- Accuracy: 0.9066
+- F1: 0.8768
+- Precision: 0.8617
+- Recall: 0.8925
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6423        | 1.0   | 788  | 0.4273          | 0.8966   | 0.8597 | 0.8689    | 0.8507 |
+| 0.4072        | 2.0   | 1576 | 0.5435          | 0.8910   | 0.8600 | 0.8247    | 0.8985 |
+| 0.2823        | 3.0   | 2364 | 0.5167          | 0.9066   | 0.8768 | 0.8617    | 0.8925 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3