update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: outputs
+  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. -->
+
+# outputs
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0224
+- Pearson: 0.8314
+
+## 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: 8e-05
+- train_batch_size: 128
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 7
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearson |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 1.0   | 214  | 0.0256          | 0.7816  |
+| No log        | 2.0   | 428  | 0.0251          | 0.8115  |
+| 0.0355        | 3.0   | 642  | 0.0257          | 0.8186  |
+| 0.0355        | 4.0   | 856  | 0.0220          | 0.8255  |
+| 0.0133        | 5.0   | 1070 | 0.0226          | 0.8287  |
+| 0.0133        | 6.0   | 1284 | 0.0220          | 0.8321  |
+| 0.0133        | 7.0   | 1498 | 0.0224          | 0.8314  |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.1
+- Tokenizers 0.12.1