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zephyr-7b-enem-nlp

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metadata
license: mit
library_name: peft
tags:
  - generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
  - name: zephyr-7b-enem-nlp
    results: []

zephyr-7b-enem-nlp

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4433

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
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.6904 2.13 100 1.4433

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