End of training

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: mental/mental-bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: mentalBERT-wellness-classifier
+  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. -->
+
+# mentalBERT-wellness-classifier
+
+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: 1.0471
+- Accuracy: 0.722
+- Auc: 0.915
+- Precision Class 0: 0.765
+- Precision Class 1: 0.762
+- Precision Class 2: 0.745
+- Precision Class 3: 0.684
+- Recall Class 0: 0.736
+- Recall Class 1: 0.593
+- Recall Class 2: 0.651
+- Recall Class 3: 0.796
+- F1 Score Class 0: 0.75
+- F1 Score Class 1: 0.667
+- F1 Score Class 2: 0.695
+- F1 Score Class 3: 0.736
+
+## 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: 0.0002
+- 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 | Auc   | Precision Class 0 | Precision Class 1 | Precision Class 2 | Precision Class 3 | Recall Class 0 | Recall Class 1 | Recall Class 2 | Recall Class 3 | F1 Score Class 0 | F1 Score Class 1 | F1 Score Class 2 | F1 Score Class 3 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:-----------------:|:-----------------:|:-----------------:|:-----------------:|:--------------:|:--------------:|:--------------:|:--------------:|:----------------:|:----------------:|:----------------:|:----------------:|
+| 0.0887        | 1.0   | 140  | 1.2702          | 0.73     | 0.91  | 0.783             | 0.773             | 0.746             | 0.693             | 0.679          | 0.63           | 0.698          | 0.806          | 0.727            | 0.694            | 0.721            | 0.745            |
+| 0.2058        | 2.0   | 280  | 1.0340          | 0.718    | 0.916 | 0.75              | 0.72              | 0.736             | 0.694             | 0.736          | 0.667          | 0.619          | 0.786          | 0.743            | 0.692            | 0.672            | 0.737            |
+| 0.1921        | 3.0   | 420  | 1.0234          | 0.739    | 0.919 | 0.733             | 0.731             | 0.75              | 0.737             | 0.83           | 0.704          | 0.667          | 0.745          | 0.779            | 0.717            | 0.706            | 0.741            |
+| 0.184         | 4.0   | 560  | 1.0486          | 0.73     | 0.917 | 0.719             | 0.773             | 0.738             | 0.723             | 0.774          | 0.63           | 0.714          | 0.745          | 0.745            | 0.694            | 0.726            | 0.734            |
+| 0.1666        | 5.0   | 700  | 1.0084          | 0.747    | 0.918 | 0.769             | 0.739             | 0.738             | 0.743             | 0.755          | 0.63           | 0.762          | 0.765          | 0.762            | 0.68             | 0.75             | 0.754            |
+| 0.1558        | 6.0   | 840  | 1.0314          | 0.739    | 0.917 | 0.759             | 0.773             | 0.738             | 0.721             | 0.774          | 0.63           | 0.714          | 0.765          | 0.766            | 0.694            | 0.726            | 0.743            |
+| 0.138         | 7.0   | 980  | 1.0733          | 0.73     | 0.915 | 0.776             | 0.773             | 0.75              | 0.693             | 0.717          | 0.63           | 0.667          | 0.806          | 0.745            | 0.694            | 0.706            | 0.745            |
+| 0.1481        | 8.0   | 1120 | 1.0656          | 0.722    | 0.914 | 0.787             | 0.773             | 0.741             | 0.678             | 0.698          | 0.63           | 0.635          | 0.816          | 0.74             | 0.694            | 0.684            | 0.741            |
+| 0.1433        | 9.0   | 1260 | 1.0520          | 0.718    | 0.915 | 0.765             | 0.762             | 0.741             | 0.678             | 0.736          | 0.593          | 0.635          | 0.796          | 0.75             | 0.667            | 0.684            | 0.732            |
+| 0.1577        | 10.0  | 1400 | 1.0471          | 0.722    | 0.915 | 0.765             | 0.762             | 0.745             | 0.684             | 0.736          | 0.593          | 0.651          | 0.796          | 0.75             | 0.667            | 0.695            | 0.736            |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

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+{
+  "_name_or_path": "mental/mental-bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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special_tokens_map.json

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+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
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+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

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