Sonja Topf commited on
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fc704b2
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1 Parent(s): b0119a6

changed seed and readme

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  1. README.md +1 -2
  2. checkpoints/model.pt +1 -1
  3. config/config.json +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ short_description: Graph Isomorphism Network Baseline Classifier for Tox21
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  This repository hosts a Hugging Face Space that provides an examplary API for submitting models to the [Tox21 Leaderboard](https://huggingface.co/spaces/tschouis/tox21_leaderboard).
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- In this example, we trained a GIN classifier on the Tox21 targets and saved the trained model in the `assets/` folder.
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  **Important:** For leaderboard submission, your Space needs to include training code. The file `train.py` should train the model using the config specified inside the `config/` folder and save the final model parameters into a file inside the `checkpoints/` folder. The model should be trained using the [Tox21_dataset](https://huggingface.co/datasets/tschouis/tox21) provided on Hugging Face. The datasets can be loaded like this:
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  ```python
@@ -29,7 +29,6 @@ val_df = ds["validation"].to_pandas()
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  - `app.py` - FastAPI application wrapper (can be used as-is).
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  - `train.py` - trains and saves a model using the config in the `config/` folder.
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  - `config/` - the config file used by `train.py`.
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- - `logs/` - all the logs of `train.py`, the saved model, and predictions on the validation set.
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  - `checkpoints/` - the saved model that is used in `predict.py` is here.
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  - `src/` - Core model & preprocessing logic:
 
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  This repository hosts a Hugging Face Space that provides an examplary API for submitting models to the [Tox21 Leaderboard](https://huggingface.co/spaces/tschouis/tox21_leaderboard).
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+ In this example, we trained a GIN classifier on the Tox21 targets and saved the trained model in the `checkpoints/` folder.
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  **Important:** For leaderboard submission, your Space needs to include training code. The file `train.py` should train the model using the config specified inside the `config/` folder and save the final model parameters into a file inside the `checkpoints/` folder. The model should be trained using the [Tox21_dataset](https://huggingface.co/datasets/tschouis/tox21) provided on Hugging Face. The datasets can be loaded like this:
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  ```python
 
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  - `app.py` - FastAPI application wrapper (can be used as-is).
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  - `train.py` - trains and saves a model using the config in the `config/` folder.
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  - `config/` - the config file used by `train.py`.
 
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  - `checkpoints/` - the saved model that is used in `predict.py` is here.
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  - `src/` - Core model & preprocessing logic:
checkpoints/model.pt CHANGED
@@ -1,3 +1,3 @@
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  size 628746
 
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  version https://git-lfs.github.com/spec/v1
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  size 628746
config/config.json CHANGED
@@ -6,7 +6,7 @@
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  "patience": 100,
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  "max_epochs": 200,
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  "batch_size": 64,
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- "seed": 0,
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  "add_or_mean": "mean",
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  "window_size": 15
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  }
 
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  "patience": 100,
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  "max_epochs": 200,
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  "batch_size": 64,
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+ "seed": 42,
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  "add_or_mean": "mean",
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  "window_size": 15
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  }