| language: | |
| - zh | |
| license: gpl-3.0 | |
| library_name: peft | |
| tags: | |
| - art | |
| - llama-factory | |
| - lora | |
| - generated_from_trainer | |
| base_model: THUDM/chatglm3-6b | |
| metrics: | |
| - bleu | |
| pipeline_tag: text-generation | |
| model-index: | |
| - name: train_2024-05-02-07-20-40 | |
| 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. --> | |
| # ChatGLM3-6B-Chat-DcardStylePost-SFT | |
| This model is a fine-tuned version of [THUDM/chatglm3-6b](https://huggingface.co/THUDM/chatglm3-6b) on the dcardwom_zhcn_train dataset. | |
| ## 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: 5e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 3.0 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.10.0 | |
| - Transformers 4.40.1 | |
| - Pytorch 2.2.0a0+81ea7a4 | |
| - Datasets 2.19.0 | |
| - Tokenizers 0.19.1 |