--- language: - pt license: mit library_name: peft tags: - generated_from_trainer base_model: HuggingFaceH4/zephyr-7b-beta datasets: - heloisy/cosmos_qa_ptbr_text model-index: - name: zephyr-7b-cosmosqa-ptbr_text results: [] --- # zephyr-7b-cosmosqa-ptbr_text This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0951 ## 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: 4e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - training_steps: 1000 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.4903 | 0.13 | 100 | 1.1563 | | 1.1453 | 0.25 | 200 | 1.1254 | | 1.1192 | 0.38 | 300 | 1.1149 | | 1.109 | 0.51 | 400 | 1.1045 | | 1.0927 | 0.63 | 500 | 1.1003 | | 1.0883 | 0.76 | 600 | 1.0971 | | 1.077 | 0.89 | 700 | 1.0955 | | 1.0694 | 1.01 | 800 | 1.0934 | | 1.0377 | 1.14 | 900 | 1.0958 | | 1.03 | 1.27 | 1000 | 1.0951 | ### Framework versions - PEFT 0.7.1.dev0 - Transformers 4.36.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.14.7 - 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/heloisy/zephyr-7b-cosmosqa-ptbr_text) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard) | Metric | Value | |--------------------------|---------| |Average |**63.16**| |ENEM Challenge (No Images)| 57.80| |BLUEX (No Images) | 47.15| |OAB Exams | 38.95| |Assin2 RTE | 89.50| |Assin2 STS | 68.47| |FaQuAD NLI | 63.08| |HateBR Binary | 78.43| |PT Hate Speech Binary | 68.05| |tweetSentBR | 57.01|