File size: 2,134 Bytes
0c788ea d64c2c8 842816b d64c2c8 0c788ea 842816b 0c788ea 842816b 0c788ea |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
---
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
|