update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: hBERTv1_data_aug_sst2
+  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. -->
+
+# hBERTv1_data_aug_sst2
+
+This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0815
+- Accuracy: 0.7821
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 10
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2892        | 1.0   | 4374  | 0.6087          | 0.7856   |
+| 0.1628        | 2.0   | 8748  | 0.7398          | 0.7810   |
+| 0.1151        | 3.0   | 13122 | 0.8492          | 0.8016   |
+| 0.0917        | 4.0   | 17496 | 1.0381          | 0.7867   |
+| 0.0862        | 5.0   | 21870 | 0.9657          | 0.7867   |
+| 0.0762        | 6.0   | 26244 | 1.0815          | 0.7821   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.10.1
+- Tokenizers 0.13.2