storytold/FineTrainers-Conditioning
2
0
Fork 0
mirror of https://github.com/storytold/FineTrainers-Conditioning.git synced 2026-10-23 08:15:18 +00:00
Code Issues Packages Projects Releases Wiki Activity

DeepSpeed and DDP Configs (#10)

Browse Source 
* add configs

* remove compiled ddp config

* add coauthor

Co-Authored-By: Sayak Paul <spsayakpaul@gmail.com>

* update

* deepspeed numbers  nd fixes

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
This commit is contained in:
Aryan
2024-10-09 02:54:18 +05:30
committed by GitHub
parent 795f2c24d4
commit be9d99a1b0
6 changed files with 97 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+45 -1
View File
@@ -85,7 +85,7 @@ TODO: Add a section on creating and using precomputed embeddings.
We provide training script for both text-to-video and image-to-video generation which are compatible with the [Cog family of models](https://huggingface.co/collections/THUDM/cogvideo-66c08e62f1685a3ade464cce).
Take a look at `training/*.sh`
Take a look at `*.sh`
Note: Untested on MPS
@@ -282,11 +282,55 @@ ValueError: Expected a cuda device, but got: cpu
</details>
<details>
<summary> DeepSpeed (AdamW + CPU/Parameter offloading) </summary>
> [!NOTE]
> Results are for `lora_rank=256` with `gradient_checkpointing` enabled, 2x RTX 4090.
With `train_batch_size = 1`:
| model | memory_before_training | memory_before_validation | memory_after_validation | memory_after_testing |
|:------------------:|:----------------------:|:------------------------:|:-----------------------:|:--------------------:|
| THUDM/CogVideoX-2b | 13.141 | 13.141 | 21.070 | 24.602 |
| THUDM/CogVideoX-5b | 20.170 | 20.170 | 28.662 | 38.957 |
With `train_batch_size = 4`:
| model | memory_before_training | memory_before_validation | memory_after_validation | memory_after_testing |
|:------------------:|:----------------------:|:------------------------:|:-----------------------:|:--------------------:|
| THUDM/CogVideoX-2b | 13.141 | 19.854 | 20.836 | 24.709 |
| THUDM/CogVideoX-5b | 20.170 | 40.635 | 40.699 | 39.027 |
</details>
### Full finetuning
> [!NOTE]
> `memory_after_validation` is indicative of the peak memory required for training. This is because apart from the activations, parameters and gradients stored for training, you also need to load the vae and text encoder in memory and spend some memory to perform inference. In order to reduce total memory required to perform training, one can choose to not perform validation/testing as part of the training script.
<details>
<summary> DeepSpeed (AdamW + CPU/Parameter offloading) </summary>
> [!NOTE]
> Results with `gradient_checkpointing` enabled, 2x RTX 4090.
With `train_batch_size = 1`:
| model | memory_before_training | memory_before_validation | memory_after_validation | memory_after_testing |
|:------------------:|:----------------------:|:------------------------:|:-----------------------:|:--------------------:|
| THUDM/CogVideoX-2b | 13.111 | 13.111 | 20.328 | 23.867 |
| THUDM/CogVideoX-5b | 19.762 | 19.998 | 27.697 | 38.018 |
With `train_batch_size = 4`:
| model | memory_before_training | memory_before_validation | memory_after_validation | memory_after_testing |
|:------------------:|:----------------------:|:------------------------:|:-----------------------:|:--------------------:|
| THUDM/CogVideoX-2b | 13.111 | 21.188 | 21.254 | 23.869 |
| THUDM/CogVideoX-5b | 19.762 | 43.465 | 43.531 | 38.082 |
</details>
- [ ] Make scripts compatible with DDP
- [ ] Make scripts compatible with FSDP
- [x] Make scripts compatible with DeepSpeed