Update README.md

- Added training details & metrics.
- Added Eyal's name.

README.md

@@ -10,7 +10,7 @@ inference: False
 # ⚡ FlashDiffusion: FlashPixart ⚡
 
 
-Flash Diffusion is a diffusion distillation method proposed in [ADD ARXIV]() *by Clément Chadebec, Onur Tasar and Benjamin Aubin.*
+Flash Diffusion is a diffusion distillation method proposed in [ADD ARXIV]() *by Clément Chadebec, Onur Tasar, Eyal Benaroche, and Benjamin Aubin.*
 This model is a **66.5M** LoRA distilled version of Pixart-α model that is able to generate 1024x1024 images in **4 steps**. See our [live demo](https://huggingface.co/spaces/jasperai/FlashPixart).
 
 
@@ -63,8 +63,11 @@ image = pipe(prompt, num_inference_steps=4, guidance_scale=0).images[0]
 </p>
 
 # Training Details
-The model was trained for 40k iterations on 4 H100 GPUs. Please refer to the [paper]() for further parameters details. 
+The model was trained for 40k iterations on 4 H100 GPUs (representing approximately 188 hours of training). Please refer to the [paper]() for further parameters details. 
 
+**Metrics on COCO 2014 validation (Table 4)**
+  - FID-10k: 29.30 (4 NFE)
+  - CLIP Score: 0.303 (4 NFE)
 
 ## License
 This model is released under the the Creative Commons BY-NC license.