update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: deberta-v3-small-test_ver1
+  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-small-test_ver1
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7818
+- Pearson: 0.8125
+
+## 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: 2e-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 | Pearson |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.8486        | 1.0   | 2052  | 0.7806          | 0.7692  |
+| 0.6951        | 2.0   | 4104  | 0.7546          | 0.7934  |
+| 0.5971        | 3.0   | 6156  | 0.7366          | 0.8085  |
+| 0.4998        | 4.0   | 8208  | 0.7407          | 0.8136  |
+| 0.4407        | 5.0   | 10260 | 0.7818          | 0.8125  |
+
+
+### Framework versions
+
+- Transformers 4.22.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.2
+- Tokenizers 0.12.1