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--- |
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license: apache-2.0 |
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base_model: internlm/internlm2-chat-7b |
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datasets: |
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- CAS-SIAT-XinHai/CPsyCoun |
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language: |
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- zh |
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--- |
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# CPsyCounX |
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This model is a fine-tuned version of [internlm/internlm2-chat-7b](https://huggingface.co/internlm/internlm2-chat-7b) on the [CPsyCounD](https://huggingface.co/datasets/CAS-SIAT-XinHai/CPsyCoun) dataset. |
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## Model description |
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**CPsyCounX** is a large language model designed for Chinese Psychological Counseling. Paper: [CPsyCoun](https://arxiv.org/abs/2405.16433). |
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## Training and evaluation data |
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- Train: [CPsyCounD](https://huggingface.co/datasets/CAS-SIAT-XinHai/CPsyCoun) |
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- Evaluate: [CPsyCounE](https://github.com/CAS-SIAT-XinHai/CPsyCoun/tree/main/CPsyCounE) |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 28 |
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- total_train_batch_size: 448 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 9.0 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.37.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
