update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: mdeberta-targin-final
+  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. -->
+
+# mdeberta-targin-final
+
+This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6266
+- Accuracy: 0.6996
+- Precision: 0.6665
+- Recall: 0.6760
+- F1: 0.6698
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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 | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 296  | 0.5638          | 0.6749   | 0.6505    | 0.6657 | 0.6523 |
+| 0.5784        | 2.0   | 592  | 0.5621          | 0.7034   | 0.6713    | 0.6818 | 0.6748 |
+| 0.5784        | 3.0   | 888  | 0.5802          | 0.7082   | 0.6730    | 0.6794 | 0.6757 |
+| 0.4968        | 4.0   | 1184 | 0.5965          | 0.7110   | 0.6736    | 0.6756 | 0.6746 |
+| 0.4968        | 5.0   | 1480 | 0.6266          | 0.6996   | 0.6665    | 0.6760 | 0.6698 |
+
+
+### Framework versions
+
+- Transformers 4.24.0.dev0
+- Pytorch 1.11.0+cu102
+- Datasets 2.6.1
+- Tokenizers 0.13.1