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

zephyr_instruct_generation

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7409

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 0.03
  • training_steps: 250

Training results

Training Loss Epoch Step Validation Loss
2.9344 0.4 10 2.3554
1.822 0.8 20 1.3051
1.0639 1.2 30 0.9542
0.9127 1.6 40 0.8368
0.8577 2.0 50 0.7642
0.7091 2.4 60 0.7175
0.7112 2.8 70 0.6682
0.5931 3.2 80 0.6508
0.5809 3.6 90 0.6226
0.5901 4.0 100 0.5975
0.4863 4.4 110 0.6240
0.5024 4.8 120 0.5896
0.4932 5.2 130 0.6103
0.44 5.6 140 0.6158
0.4737 6.0 150 0.6168
0.4191 6.4 160 0.6859
0.4179 6.8 170 0.6237
0.3921 7.2 180 0.6603
0.3694 7.6 190 0.6766
0.3822 8.0 200 0.6559
0.3495 8.4 210 0.6989
0.341 8.8 220 0.6622
0.333 9.2 230 0.7345
0.3357 9.6 240 0.7215
0.3284 10.0 250 0.7409

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0