File size: 1,964 Bytes
e2a67c5 855064a e2a67c5 855064a e2a67c5 |
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 |
---
tags:
- generated_from_trainer
datasets:
- Gustavosta/Stable-Diffusion-Prompts
model-index:
- name: tiny-gpt2-magicprompt
results: []
---
<!-- 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. -->
# tiny-gpt2-magicprompt
This model is a fine-tuned version of [sshleifer/tiny-gpt2](https://huggingface.co/sshleifer/tiny-gpt2) on the Gustavosta/Stable-Diffusion-Prompts dataset.
It achieves the following results on the evaluation set:
- Loss: 10.7918
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 10.8201 | 0.96 | 16 | 10.8191 |
| 10.8167 | 1.96 | 32 | 10.8145 |
| 10.8117 | 2.96 | 48 | 10.8095 |
| 10.8058 | 3.96 | 64 | 10.8025 |
| 10.7997 | 4.96 | 80 | 10.7989 |
| 10.7959 | 5.96 | 96 | 10.7947 |
| 10.7934 | 6.96 | 112 | 10.7925 |
| 10.7924 | 7.96 | 128 | 10.7919 |
| 10.7921 | 8.96 | 144 | 10.7918 |
| 10.792 | 9.96 | 160 | 10.7918 |
### Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1
|