update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-base-uncased-Figurative_Language
+  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. -->
+
+# bert-base-uncased-Figurative_Language
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7629
+- Accuracy: 0.8124
+
+## 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: 5e-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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6961        | 1.0   | 539  | 0.6932          | 0.5190   |
+| 0.6595        | 2.0   | 1078 | 0.5326          | 0.7214   |
+| 0.4647        | 3.0   | 1617 | 0.4604          | 0.7948   |
+| 0.2884        | 4.0   | 2156 | 0.6204          | 0.8217   |
+| 0.1702        | 5.0   | 2695 | 0.7629          | 0.8124   |
+
+
+### Framework versions
+
+- Transformers 4.29.1
+- Pytorch 2.0.1
+- Datasets 2.13.1
+- Tokenizers 0.13.3