update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_qnli_256
+  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. -->
+
+# mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_qnli_256
+
+This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2517
+- Accuracy: 0.5949
+
+## 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: 128
+- eval_batch_size: 128
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 0.6984        | 1.0   | 33208  | 1.1777          | 0.5881   |
+| 0.5294        | 2.0   | 66416  | 1.2095          | 0.6011   |
+| 0.4577        | 3.0   | 99624  | 1.2274          | 0.5958   |
+| 0.407         | 4.0   | 132832 | 1.2723          | 0.5964   |
+| 0.373         | 5.0   | 166040 | 1.3358          | 0.5938   |
+| 0.349         | 6.0   | 199248 | 1.2517          | 0.5949   |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.9.0
+- Tokenizers 0.13.2