pszemraj's picture
Update README.md
231d6af
|
raw
history blame
2.12 kB
metadata
license: other
tags:
  - generated_from_trainer
datasets:
  - Gustavosta/Stable-Diffusion-Prompts
model-index:
  - name: opt-350m-magicprompt-v2
    results: []
widget:
  - text: morning sun over Jakarta
    example_title: morning sun
  - text: 'WARNING: pip is'
    example_title: pip
  - text: sentient cheese
    example_title: sentient cheese
  - text: cheeps are
    example_title: cheeps
parameters:
  min_length: 16
  max_length: 96
  no_repeat_ngram_size: 1
  do_sample: true

opt-350m-magicprompt-v2

This model is a fine-tuned version of facebook/opt-350m on the Gustavosta/Stable-Diffusion-Prompts dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2987

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: 8
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 512
  • total_eval_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss
2.8568 0.95 16 2.5937
2.2487 1.95 32 2.1050
1.9011 2.95 48 1.8082
1.6837 3.95 64 1.6178
1.4887 4.95 80 1.4897
1.3812 5.95 96 1.4017
1.2944 6.95 112 1.3437
1.2574 7.95 128 1.3127
1.2325 8.95 144 1.3009
1.2223 9.95 160 1.2987

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.6.1
  • Tokenizers 0.13.1