update model card README.md

README.md

@@ -0,0 +1,60 @@
+---
+base_model: microsoft/mpnet-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mpnet-classification-10ksamples
+  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. -->
+
+# mpnet-classification-10ksamples
+
+This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1894
+- Accuracy: 0.9683
+
+## 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: 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1426        | 1.0   | 1250 | 0.3418          | 0.9266   |
+| 0.0229        | 2.0   | 2500 | 0.1894          | 0.9683   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3