update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: add_bert_12_layer_model_complete_training_new
+  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. -->
+
+# add_bert_12_layer_model_complete_training_new
+
+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: nan
+- Accuracy: 0.0000
+
+## 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: 0.0005
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 10
+- distributed_type: multi-GPU
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 0.0           | 0.11  | 10000  | nan             | 0.0000   |
+| 0.0           | 0.22  | 20000  | nan             | 0.0000   |
+| 0.0           | 0.33  | 30000  | nan             | 0.0000   |
+| 0.0           | 0.44  | 40000  | nan             | 0.0000   |
+| 0.0           | 0.55  | 50000  | nan             | 0.0000   |
+| 0.0           | 0.66  | 60000  | nan             | 0.0000   |
+| 0.0           | 0.76  | 70000  | nan             | 0.0000   |
+| 0.0           | 0.87  | 80000  | nan             | 0.0000   |
+| 0.0           | 0.98  | 90000  | nan             | 0.0000   |
+| 0.0           | 1.09  | 100000 | nan             | 0.0000   |
+| 0.0           | 1.2   | 110000 | nan             | 0.0000   |
+| 0.0           | 1.31  | 120000 | nan             | 0.0000   |
+| 0.0           | 1.42  | 130000 | nan             | 0.0000   |
+| 0.0           | 1.53  | 140000 | nan             | 0.0000   |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.12.0
+- Tokenizers 0.13.3