update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+- precision
+model-index:
+- name: canine-c-Mental_Health_Classification
+  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. -->
+
+# canine-c-Mental_Health_Classification
+
+This model is a fine-tuned version of [google/canine-c](https://huggingface.co/google/canine-c) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2419
+- Accuracy: 0.9226
+- F1: 0.9096
+- Recall: 0.9079
+- Precision: 0.9113
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.3429        | 1.0   | 1101 | 0.2640          | 0.9037   | 0.8804 | 0.8258 | 0.9426    |
+| 0.1923        | 2.0   | 2202 | 0.2419          | 0.9226   | 0.9096 | 0.9079 | 0.9113    |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.12.1
+- Datasets 2.8.0
+- Tokenizers 0.12.1