mental_bert

README.md

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+---
+license: cc-by-nc-4.0
+base_model: mental/mental-bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: mental_bert
+  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
+
+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: 0.9179
+
+## 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: 2000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4138        | 6.25   | 100  | 1.1695          |
+| 1.0912        | 12.5   | 200  | 1.1862          |
+| 0.8699        | 18.75  | 300  | 0.9926          |
+| 0.7713        | 25.0   | 400  | 1.0570          |
+| 0.6655        | 31.25  | 500  | 1.0891          |
+| 0.6127        | 37.5   | 600  | 1.0389          |
+| 0.5461        | 43.75  | 700  | 0.9947          |
+| 0.5167        | 50.0   | 800  | 1.0043          |
+| 0.45          | 56.25  | 900  | 0.9688          |
+| 0.436         | 62.5   | 1000 | 0.9482          |
+| 0.3896        | 68.75  | 1100 | 1.0424          |
+| 0.3624        | 75.0   | 1200 | 0.9242          |
+| 0.3821        | 81.25  | 1300 | 1.0748          |
+| 0.3156        | 87.5   | 1400 | 1.0121          |
+| 0.3099        | 93.75  | 1500 | 0.9404          |
+| 0.2829        | 100.0  | 1600 | 0.8997          |
+| 0.2712        | 106.25 | 1700 | 0.8902          |
+| 0.2596        | 112.5  | 1800 | 0.9054          |
+| 0.2622        | 118.75 | 1900 | 1.0317          |
+| 0.2631        | 125.0  | 2000 | 0.9179          |
+
+
+### 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": "mental/mental-bert-base-uncased",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.3"
+}

pytorch_model.bin

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+size 438126133

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]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4027