zephyr_7b_1enem_apostilas_1ksteps_linear_warmup

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: 6
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 24
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.3
• training_steps: 1000

Training results

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 1.13.0+cu117
• Datasets 2.16.1
• Tokenizers 0.15.0