metadata

license: mit
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-alpha
model-index:
  - name: zephyr_7b_1enem_apostilas_1ksteps_linear_warmup
    results: []

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