update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bertweet-base_finetuned_olid_b
+  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_olid_b
+
+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: 0.4449
+- Accuracy: 0.8333
+- F1-macro: 0.7114
+
+## 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: 64
+- eval_batch_size: 64
+- 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-macro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| 0.6556        | 1.0   | 69   | 0.5271          | 0.7542   | 0.6452   |
+| 0.5838        | 2.0   | 138  | 0.4723          | 0.7292   | 0.6284   |
+| 0.5031        | 3.0   | 207  | 0.4223          | 0.8417   | 0.7258   |
+| 0.454         | 4.0   | 276  | 0.4391          | 0.8083   | 0.6855   |
+| 0.3966        | 5.0   | 345  | 0.4449          | 0.8333   | 0.7114   |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3