smnmnkr / nlp-wise21--ml4nlp-proj Goto Github PK View Code? Open in Web Editor NEW 0.0 1.0 0.0 22.66 MB Python 81.05% Jupyter Notebook 18.95% Introduction · People · Discuss
ML4NLP WiSe 2021/22 Challenge Usage # download the repository to your local machine git clone https://github.com/smnmnkr/sentiment-challenge.git # move into repository cd sentiment-challenge # run prediction execute __main__.py file in folder lib (select variables accordingly) Config { "data": { "train_path": "data/train.csv", "eval_path": "data/eval.csv", "test_path": null }, "preprocess": [ "hyperlinks", "mentions", "hashtags", "retweet", "repetitions", "emojis", "smileys", "spaces" ], "model": { "name": "microsoft/deberta-base" }, "trainer": { "learning_rate": 2e-5, "per_device_train_batch_size": 16, "per_device_eval_batch_size": 16, "weight_decay": 0.01, "output_dir": "results/", "logging_dir": "logs/" } } Credits Lisandro A. Cesaratto: https://github.com/lcesaratto Simon Münker: https://github.com/smnmnkr
ML4NLP WiSe 2021/22 Challenge Usage # download the repository to your local machine git clone https://github.com/smnmnkr/sentiment-challenge.git # move into repository cd sentiment-challenge # run prediction execute __main__.py file in folder lib (select variables accordingly) Config { "data": { "train_path": "data/train.csv", "eval_path": "data/eval.csv", "test_path": null }, "preprocess": [ "hyperlinks", "mentions", "hashtags", "retweet", "repetitions", "emojis", "smileys", "spaces" ], "model": { "name": "microsoft/deberta-base" }, "trainer": { "learning_rate": 2e-5, "per_device_train_batch_size": 16, "per_device_eval_batch_size": 16, "weight_decay": 0.01, "output_dir": "results/", "logging_dir": "logs/" } } Credits Lisandro A. Cesaratto: https://github.com/lcesaratto Simon Münker: https://github.com/smnmnkr
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