Update README.md

README.md

@@ -28,12 +28,4 @@ print(output[0]['generated_text'].replace(' ', ''))
 
 **Note**: Please use the `BertTokenizer` for the model vocabulary. DO NOT use the original `BartTokenizer`.
 
-## Training Details
 
-- Optimiser: SGD 0.03 + Adaptive Gradient Clipping 0.1
-- Dataset: 172937863 sentences, pad or truncate to 64 tokens
-- Batch size: 640
-- Number of epochs: 7 epochs + 61440 steps
-- Time: 44.0 hours on Google Cloud TPU v4-16
-
-WandB link: [`1j7zs802`](https://wandb.ai/ayaka/bart-base-cantonese/runs/1j7zs802)