Zamoranesis/mental_bert_classifier

README.md

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+---
+license: cc-by-nc-4.0
+base_model: Zamoranesis/mental_bert
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: mental_bert_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. -->
+
+# mental_bert_classifier
+
+This model is a fine-tuned version of [Zamoranesis/mental_bert](https://huggingface.co/Zamoranesis/mental_bert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3709
+- F1 Class 0: 0.8475
+- F1 Class 1: 0.9157
+- F1 Class 2: 0.7692
+- F1 Class 3: 0.8764
+- F1 Class 4: 0.8772
+- F1: 0.8572
+
+## 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: 0.0005
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 Class 0 | F1 Class 1 | F1 Class 2 | F1 Class 3 | F1 Class 4 | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:----------:|:----------:|:----------:|:----------:|:------:|
+| 1.3938        | 6.25  | 100  | 1.0235          | 0.7458     | 0.8000     | 0.6957     | 0.8315     | 0.8197     | 0.7785 |
+| 0.7425        | 12.5  | 200  | 0.6302          | 0.7667     | 0.875      | 0.7755     | 0.8478     | 0.8475     | 0.8225 |
+| 0.5225        | 18.75 | 300  | 0.5192          | 0.8276     | 0.9268     | 0.7843     | 0.8667     | 0.8475     | 0.8506 |
+| 0.4433        | 25.0  | 400  | 0.4599          | 0.8276     | 0.9157     | 0.7692     | 0.8636     | 0.8475     | 0.8447 |
+| 0.3862        | 31.25 | 500  | 0.4208          | 0.8475     | 0.9157     | 0.7692     | 0.8636     | 0.8621     | 0.8516 |
+| 0.3702        | 37.5  | 600  | 0.3987          | 0.8475     | 0.9157     | 0.7692     | 0.8764     | 0.8772     | 0.8572 |
+| 0.3437        | 43.75 | 700  | 0.3872          | 0.8475     | 0.9157     | 0.7692     | 0.8764     | 0.8772     | 0.8572 |
+| 0.337         | 50.0  | 800  | 0.3759          | 0.8475     | 0.9157     | 0.7692     | 0.8764     | 0.8772     | 0.8572 |
+| 0.3253        | 56.25 | 900  | 0.3727          | 0.8475     | 0.9157     | 0.7692     | 0.8764     | 0.8772     | 0.8572 |
+| 0.3236        | 62.5  | 1000 | 0.3709          | 0.8475     | 0.9157     | 0.7692     | 0.8764     | 0.8772     | 0.8572 |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "Zamoranesis/mental_bert",
+  "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",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "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": "4.33.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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+size 438012721

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "max_length": 256,
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}

training_args.bin

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