update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- matthews_correlation
+model-index:
+- name: bert-base-uncased-8-10-0.01
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      args: cola
+    metrics:
+    - name: Matthews Correlation
+      type: matthews_correlation
+      value: 0.0
+---
+
+<!-- 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-base-uncased-8-10-0.01
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8324
+- Matthews Correlation: 0.0
+
+## 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: 0.01
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
+| No log        | 1.0   | 400  | 0.8324          | 0.0                  |
+| 1.0904        | 2.0   | 800  | 1.3157          | 0.0                  |
+| 0.9461        | 3.0   | 1200 | 0.4407          | 0.0                  |
+| 0.9565        | 4.0   | 1600 | 2.1082          | 0.0                  |
+| 1.024         | 5.0   | 2000 | 0.7220          | 0.0                  |
+| 1.024         | 6.0   | 2400 | 0.7414          | 0.0                  |
+| 0.8362        | 7.0   | 2800 | 0.4442          | 0.0                  |
+| 0.6765        | 8.0   | 3200 | 0.5481          | 0.0                  |
+| 0.5902        | 9.0   | 3600 | 0.5642          | 0.0                  |
+| 0.5476        | 10.0  | 4000 | 0.4449          | 0.0                  |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.9.0
+- Datasets 1.18.3
+- Tokenizers 0.11.0