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README.md

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 ---
 license: apache-2.0
+language:
+- zh
+base_model: google-bert/bert-base-chinese
+tags:
+- finance
 ---
+
+## Model Details
+
+**FinBERT1-Base** is a financial domain-adapted Chinese language model. Built on Google's BERT-Base architecture, it was continually pretrained on large-scale Chinese financial corpora to enhance financial text understanding.
+- **Developed by:** See [valuesimplex](https://github.com/valuesimplex) for model developers
+- **Model Type:** Transformer-based language model
+- **Language(s):** Chinese
+- **Parent Model:** See the [bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese)  for more information about the BERT base model.
+- **Resources:** [https://github.com/valuesimplex/FinBERT](https://github.com/valuesimplex/FinBERT)
+
+
+## Direct Use
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model = AutoModel.from_pretrained("valuesimplex-ai-lab/FinBERT1-base")
+tokenizer = AutoTokenizer.from_pretrained("valuesimplex-ai-lab/FinBERT1-base")
+```
+
+### Further Usage
+continual pre-training or fine-tuning：https://github.com/valuesimplex/FinBERT

bert_config.json

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+{
+  "attention_probs_dropout_prob": 0.1, 
+  "directionality": "bidi", 
+  "hidden_act": "gelu", 
+  "hidden_dropout_prob": 0.1, 
+  "hidden_size": 768, 
+  "initializer_range": 0.02, 
+  "intermediate_size": 3072, 
+  "max_position_embeddings": 512, 
+  "num_attention_heads": 12, 
+  "num_hidden_layers": 12, 
+  "pooler_fc_size": 768, 
+  "pooler_num_attention_heads": 12, 
+  "pooler_num_fc_layers": 3, 
+  "pooler_size_per_head": 128, 
+  "pooler_type": "first_token_transform", 
+  "type_vocab_size": 2, 
+  "vocab_size": 21128
+}

pytorch_model.bin

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