update model card README.md

README.md

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+---
+license: mit
+tags:
+- fill-mask
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: deberta-mlm-test
+  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-mlm-test
+
+This model is a fine-tuned version of [microsoft/deberta-v3-xsmall](https://huggingface.co/microsoft/deberta-v3-xsmall) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2792
+- Accuracy: 0.4766
+
+## 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 4.4466        | 1.0   | 2067  | 4.1217          | 0.3847   |
+| 3.9191        | 2.0   | 4134  | 3.6562          | 0.4298   |
+| 3.6397        | 3.0   | 6201  | 3.4417          | 0.4550   |
+| 3.522         | 4.0   | 8268  | 3.3239          | 0.4692   |
+| 3.4504        | 5.0   | 10335 | 3.2792          | 0.4766   |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.11.0a0+17540c5
+- Datasets 2.3.2
+- Tokenizers 0.12.1