update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_12_layer_model_v1
+  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. -->
+
+# bert_12_layer_model_v1
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1713
+- Accuracy: 0.5905
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 10
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10000
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 6.293         | 1.0   | 22886  | 5.6395          | 0.1723   |
+| 3.7477        | 2.0   | 45772  | 2.6625          | 0.5252   |
+| 2.5641        | 3.0   | 68658  | 2.3431          | 0.5673   |
+| 2.3563        | 4.0   | 91544  | 2.2188          | 0.5839   |
+| 2.2692        | 5.0   | 114430 | 2.1713          | 0.5905   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.10.0
+- Tokenizers 0.13.2