Instructions to use iagoalves/zephyr_7b_enem_apostilas_1500steps_constant_zzzzzzz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iagoalves/zephyr_7b_enem_apostilas_1500steps_constant_zzzzzzz with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-alpha") model = PeftModel.from_pretrained(base_model, "iagoalves/zephyr_7b_enem_apostilas_1500steps_constant_zzzzzzz") - Notebooks
- Google Colab
- Kaggle
zephyr_7b_enem_apostilas_1500steps_constant_zzzzzzz
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-alpha on the None 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.3
- training_steps: 1200
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for iagoalves/zephyr_7b_enem_apostilas_1500steps_constant_zzzzzzz
Base model
mistralai/Mistral-7B-v0.1 Finetuned
HuggingFaceH4/zephyr-7b-alpha