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README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: deberta-pretrained-large
+  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-pretrained-large
+
+This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6471
+
+## 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: 9
+- eval_batch_size: 9
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|
+| 0.9756        | 0.51  | 40000  | 0.9127          |
+| 0.8876        | 1.01  | 80000  | 0.8221          |
+| 0.818         | 1.52  | 120000 | 0.7786          |
+| 0.7836        | 2.03  | 160000 | 0.7438          |
+| 0.7672        | 2.54  | 200000 | 0.7165          |
+| 0.734         | 3.04  | 240000 | 0.6948          |
+| 0.7079        | 3.55  | 280000 | 0.6749          |
+| 0.6987        | 4.06  | 320000 | 0.6598          |
+| 0.6771        | 4.57  | 360000 | 0.6471          |
+
+
+### Framework versions
+
+- Transformers 4.12.5
+- Pytorch 1.10.0+cu113
+- Datasets 1.15.1
+- Tokenizers 0.10.3