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zephyr-Me

PEFT
Safetensors
trl
sft
Generated from Trainer
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metadata
license: mit
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
metrics:
  - rouge
base_model: TheBloke/zephyr-7B-beta-GPTQ
model-index:
  - name: zephyr-Me
    results: []

zephyr-Me

This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0107
  • Rouge1: 0.7127
  • Rouge2: 0.4797
  • Rougel: 0.6694
  • Rougelsum: 0.6951
  • Meteor: 0.7003
  • F1 Score: 0.0010

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: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Meteor F1 Score
2.1273 0.15 4 2.0726 0.4931 0.1866 0.4166 0.4753 0.4834 0.0077
1.6907 0.3 8 1.5193 0.6035 0.3389 0.5483 0.5905 0.5816 0.0010
1.3096 0.44 12 1.3236 0.6571 0.4159 0.6080 0.6386 0.6473 0.0008
1.1588 0.59 16 1.2651 0.6652 0.4210 0.6174 0.6455 0.6528 0.0008
1.1038 0.74 20 1.1852 0.6772 0.4239 0.6274 0.6557 0.6570 0.0008
1.0362 0.89 24 1.1448 0.6750 0.4256 0.6278 0.6547 0.6613 0.0008
1.0733 1.04 28 1.1137 0.6864 0.4397 0.6379 0.6655 0.6743 0.0008
0.8783 1.19 32 1.1179 0.6914 0.4510 0.6430 0.6680 0.6813 0.0010
0.8761 1.33 36 1.1020 0.6984 0.4545 0.6497 0.6768 0.6865 0.0010
0.8774 1.48 40 1.0696 0.7033 0.4604 0.6549 0.6834 0.6908 0.0010
0.8621 1.63 44 1.0485 0.7030 0.4642 0.6568 0.6850 0.6915 0.0010
0.8143 1.78 48 1.0334 0.7064 0.4670 0.6601 0.6874 0.6929 0.0010
0.7483 1.93 52 1.0232 0.7060 0.4681 0.6606 0.6868 0.6940 0.0010
0.7647 2.07 56 1.0148 0.7058 0.4700 0.6623 0.6884 0.6886 0.0010
0.6659 2.22 60 1.0135 0.7088 0.4737 0.6655 0.6917 0.6952 0.0010
0.7135 2.37 64 1.0098 0.7132 0.4783 0.6699 0.6948 0.6989 0.0010
0.6685 2.52 68 1.0123 0.7116 0.4787 0.6687 0.6939 0.6995 0.0010
0.6538 2.67 72 1.0113 0.7145 0.4811 0.6705 0.6966 0.7030 0.0010
0.6648 2.81 76 1.0108 0.7132 0.4800 0.6694 0.6955 0.7011 0.0010
0.6278 2.96 80 1.0107 0.7127 0.4797 0.6694 0.6951 0.7003 0.0010

Framework versions

  • PEFT 0.7.1
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0