update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-base-cased-twitter_sentiment
+  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-base-cased-twitter_sentiment
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6907
+- Accuracy: 0.7132
+
+## 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: 1e-06
+- 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 | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.8901        | 1.0   | 1387  | 0.8592          | 0.6249   |
+| 0.8085        | 2.0   | 2774  | 0.7600          | 0.6822   |
+| 0.7336        | 3.0   | 4161  | 0.7170          | 0.6915   |
+| 0.6938        | 4.0   | 5548  | 0.7018          | 0.7016   |
+| 0.6738        | 5.0   | 6935  | 0.6926          | 0.7067   |
+| 0.6496        | 6.0   | 8322  | 0.6910          | 0.7088   |
+| 0.6599        | 7.0   | 9709  | 0.6902          | 0.7088   |
+| 0.631         | 8.0   | 11096 | 0.6910          | 0.7095   |
+| 0.6327        | 9.0   | 12483 | 0.6925          | 0.7146   |
+| 0.6305        | 10.0  | 13870 | 0.6907          | 0.7132   |
+
+
+### Framework versions
+
+- Transformers 4.12.5
+- Pytorch 1.10.0+cu111
+- Datasets 1.16.1
+- Tokenizers 0.10.3