update model card README.md

README.md

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+---
+license: mit
+tags:
+- text-classification
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: deberta-v3-xsmall-finetuned-DAGPap22
+  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. -->
+
+# deberta-v3-xsmall-finetuned-DAGPap22
+
+This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1285
+- Accuracy: 0.9794
+- F1: 0.9850
+
+## 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: 4.5e-05
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 402  | 0.2610          | 0.9477   | 0.9621 |
+| 0.4318        | 2.0   | 804  | 0.2039          | 0.9421   | 0.9559 |
+| 0.1105        | 3.0   | 1206 | 0.1734          | 0.9664   | 0.9748 |
+| 0.0451        | 4.0   | 1608 | 0.1000          | 0.9850   | 0.9890 |
+| 0.0073        | 5.0   | 2010 | 0.1285          | 0.9794   | 0.9850 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1