update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: new-test-model
+  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. -->
+
+# new-test-model
+
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0962
+- Precision: 0.9704
+- Recall: 0.9766
+- F1: 0.9735
+- Accuracy: 0.9791
+
+## 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: 2e-05
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 151  | 0.1872          | 0.9295    | 0.9405 | 0.9349 | 0.9535   |
+| No log        | 2.0   | 302  | 0.1417          | 0.9574    | 0.9652 | 0.9613 | 0.9679   |
+| No log        | 3.0   | 453  | 0.1028          | 0.9676    | 0.9693 | 0.9684 | 0.9742   |
+| 0.3037        | 4.0   | 604  | 0.1063          | 0.9676    | 0.9696 | 0.9686 | 0.9743   |
+| 0.3037        | 5.0   | 755  | 0.0962          | 0.9704    | 0.9766 | 0.9735 | 0.9791   |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.1.0
+- Tokenizers 0.12.1