update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: mental-bert-base-uncased-masked_finetuned-0517
+  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. -->
+
+# mental-bert-base-uncased-masked_finetuned-0517
+
+This model is a fine-tuned version of [mental/mental-bert-base-uncased](https://huggingface.co/mental/mental-bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5217
+- Accuracy: 0.917
+- F1: 0.9171
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 3000  | 0.2922          | 0.8993   | 0.8997 |
+| No log        | 2.0   | 6000  | 0.3964          | 0.9063   | 0.9069 |
+| No log        | 3.0   | 9000  | 0.4456          | 0.9197   | 0.9197 |
+| No log        | 4.0   | 12000 | 0.5217          | 0.917    | 0.9171 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.9.0
+- Datasets 1.16.1
+- Tokenizers 0.10.3