--- license: mit library_name: peft tags: - trl - sft - generated_from_trainer base_model: HuggingFaceH4/zephyr-7b-beta datasets: - generator model-index: - name: WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT results: [] --- # WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 0.4088 ## 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: 0.0002 - train_batch_size: 2 - eval_batch_size: 2 - 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: linear - lr_scheduler_warmup_ratio: 0.03 - training_steps: 337 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.5761 | 0.83 | 50 | 0.4671 | | 0.4488 | 1.66 | 100 | 0.4409 | | 0.4272 | 2.49 | 150 | 0.4293 | | 0.4145 | 3.32 | 200 | 0.4219 | | 0.3999 | 4.15 | 250 | 0.4155 | | 0.3872 | 4.98 | 300 | 0.4088 | ### Framework versions - PEFT 0.7.1 - Transformers 4.37.0.dev0 - Pytorch 2.1.0+cu118 - Datasets 2.16.1 - Tokenizers 0.15.0 # Open Portuguese LLM Leaderboard Evaluation Results Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/Weni/WeniGPT-2.2.3-Zephyr-7B-LLM_Base_2.0.3_SFT) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard) | Metric | Value | |--------------------------|---------| |Average |**45.86**| |ENEM Challenge (No Images)| 23.58| |BLUEX (No Images) | 28.79| |OAB Exams | 26.33| |Assin2 RTE | 87.01| |Assin2 STS | 28.33| |FaQuAD NLI | 44.66| |HateBR Binary | 66.91| |PT Hate Speech Binary | 56.25| |tweetSentBR | 50.88|