--- license: mit datasets: - GAIR/lima - OpenAssistant/oasst1 - databricks/databricks-dolly-15k - cnn_dailymail - ai2_arc language: - en metrics: - lhy/ranking_loss library_name: transformers pipeline_tag: text-generation --- --- # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/model-cards {{ card_data }} --- # Model Card for TSOTSALLM TSOTSALLM is a large language Model Fine tuning from LLaMA 2 with 7B parameters. This model allow us to annotate automatically TSOTSATable in different task CEA, CTA, CPA ITD.. after annotate wiht use This LLM to generate the composition table. ## Model Details ### Model Description ### Model Sources [optional] ## Uses ### Direct Use ### Downstream Use [optional] ### Out-of-Scope Use ## Bias, Risks, and Limitations ### Recommendations ## How to Get Started with the Model ## Training Details ### Training Data ### Training Procedure #### Preprocessing [optional] #### Training Hyperparameters #### Speeds, Sizes, Times [optional] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data #### Factors #### Metrics {{ testing_metrics | default("[More Information Needed]", true)}} ### Results {{ results | default("[More Information Needed]", true)}} #### Summary {{ results_summary | default("", true) }} ## Model Examination [optional] {{ model_examination | default("[More Information Needed]", true)}} ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). ## Technical Specifications [optional] ### Model Architecture and Objective ### Compute Infrastructure #### Hardware #### Software ## Citation [optional] ## Glossary [optional] ## More Information [optional] ## Model Card Authors [optional] ## Model Card Contact