Update README.md

README.md

@@ -57,15 +57,17 @@ print(output)
 ### Details on data and training
 The code for preparing the data and training & evaluating the model is fully open-source here: https://github.com/MoritzLaurer/zeroshot-classifier/tree/main
 
+Hyperparameters and other details are available in this Weights & Biases repo: https://wandb.ai/moritzlaurer/deberta-v3-base-zeroshot-v1-1-all-33/table?workspace=user-
+
 ## Metrics
 
-Balanced accuracy metrics on all datasets. 
+Balanced accuracy is reported for all datasets. 
 `deberta-v3-base-zeroshot-v1.1-all-33` was trained on all datasets, with only maximum 500 texts per class to avoid overfitting. 
-The metrics on these datasets are therefore not strictly zeroshot, as the model has seen some data for each task. 
+The metrics on these datasets are therefore not strictly zeroshot, as the model has seen some data for each task during training. 
 `deberta-v3-base-zeroshot-v1.1-heldout` indicates zeroshot performance on the respective dataset.
 To calculate these zeroshot metrics, the pipeline was run 28 times, each time with one dataset held out from training to simulate a zeroshot setup.
 
-![figure_base_v1.1](https://github.com/MoritzLaurer/zeroshot-classifier/blob/main/results/fig_base_v1.1.png)
+![figure_base_v1.1](https://raw.githubusercontent.com/MoritzLaurer/zeroshot-classifier/main/results/fig_base_v1.1.png)
 
 |                            |   deberta-v3-base-mnli-fever-anli-ling-wanli-binary |   deberta-v3-base-zeroshot-v1.1-heldout |   deberta-v3-base-zeroshot-v1.1-all-33 |
 |:---------------------------|---------------------------:|----------------------------------------:|---------------------------------------:|