|
--- |
|
license: other |
|
tags: |
|
- generated_from_trainer |
|
- text generation |
|
- stable diffusion |
|
- midjourney |
|
- text2image |
|
- text to image |
|
datasets: |
|
- pszemraj/text2image-prompts-multi |
|
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" |
|
- text: "avocado armchair" |
|
example_title: "creative prompt" |
|
- text: "Landscape of" |
|
example_title: "landscape" |
|
parameters: |
|
min_length: 16 |
|
max_length: 96 |
|
no_repeat_ngram_size: 1 |
|
do_sample: True |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# OPT-350m-multiprompt-v1 |
|
|
|
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the pszemraj/text2image-prompts-multi dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6669 |
|
|
|
## 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: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 256 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.04 |
|
- num_epochs: 4.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.1677 | 1.0 | 990 | 2.0888 | |
|
| 1.856 | 2.0 | 1980 | 1.8215 | |
|
| 1.6864 | 3.0 | 2970 | 1.6935 | |
|
| 1.6228 | 4.0 | 3960 | 1.6670 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.0.dev0 |
|
- Pytorch 1.13.0+cu117 |
|
- Datasets 2.6.1 |
|
- Tokenizers 0.13.1 |
|
|
