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End of training
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metadata
license: mit
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-alpha
model-index:
  - name: zephyr_7b_enem_apostilas_1500steps_constant_zzzzzzz
    results: []

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