update model card README.md

README.md

@@ -1,3 +1,67 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: MSPoliBERT
+  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. -->
+
+# MSPoliBERT
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3062
+- Accuracy: 0.9310
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3888        | 1.0   | 1138 | 0.3691          | 0.9178   |
+| 0.2981        | 2.0   | 2276 | 0.3425          | 0.9240   |
+| 0.2073        | 3.0   | 3414 | 0.3062          | 0.9310   |
+| 0.1642        | 4.0   | 4552 | 0.3301          | 0.9336   |
+| 0.1175        | 5.0   | 5690 | 0.3387          | 0.9345   |
+| 0.1201        | 6.0   | 6828 | 0.3298          | 0.9358   |
+| 0.1078        | 7.0   | 7966 | 0.3751          | 0.9327   |
+| 0.0945        | 8.0   | 9104 | 0.3503          | 0.9349   |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.12.1