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- cache_seed1/gpt2/ag_news/aug0/meta.json +10 -0
- cache_seed1/gpt2/ag_news/aug1/meta.json +10 -0
- cache_seed1/gpt2/ag_news/aug2/meta.json +10 -0
- cache_seed1/gpt2/ag_news/iid/meta.json +10 -0
- cache_seed1/gpt2/ag_news/paraphrase/meta.json +10 -0
- cache_seed1/gpt2/ag_news/train/meta.json +10 -0
- cache_seed1/gpt2/counterfact/aug0/meta.json +10 -0
- cache_seed1/gpt2/counterfact/aug1/meta.json +10 -0
- cache_seed1/gpt2/counterfact/aug2/meta.json +10 -0
- cache_seed1/gpt2/counterfact/iid/meta.json +10 -0
- cache_seed1/gpt2/counterfact/paraphrase/meta.json +10 -0
- cache_seed1/gpt2/counterfact/train/meta.json +10 -0
- cache_seed1/gpt2/dbpedia/aug0/meta.json +10 -0
- cache_seed1/gpt2/dbpedia/aug1/meta.json +10 -0
- cache_seed1/gpt2/dbpedia/aug2/meta.json +10 -0
- cache_seed1/gpt2/dbpedia/iid/meta.json +10 -0
- cache_seed1/gpt2/dbpedia/paraphrase/meta.json +10 -0
- cache_seed1/gpt2/dbpedia/train/meta.json +10 -0
- cache_seed1/gpt2/emotion/aug0/meta.json +10 -0
- cache_seed1/gpt2/emotion/aug1/meta.json +10 -0
- cache_seed1/gpt2/emotion/aug2/meta.json +10 -0
- cache_seed1/gpt2/emotion/iid/meta.json +10 -0
- cache_seed1/gpt2/emotion/paraphrase/meta.json +10 -0
- cache_seed1/gpt2/emotion/train/meta.json +10 -0
- cache_seed1/gpt2/imdb/aug0/meta.json +10 -0
- cache_seed1/gpt2/imdb/aug1/meta.json +10 -0
- cache_seed1/gpt2/imdb/aug2/meta.json +10 -0
- cache_seed1/gpt2/imdb/domain/meta.json +10 -0
- cache_seed1/gpt2/imdb/iid/meta.json +10 -0
- cache_seed1/gpt2/imdb/length/meta.json +10 -0
- cache_seed1/gpt2/imdb/paraphrase/meta.json +10 -0
- cache_seed1/gpt2/imdb/train/meta.json +10 -0
- cache_seed1/gpt2/sst2/aug0/meta.json +10 -0
- cache_seed1/gpt2/sst2/aug1/meta.json +10 -0
- cache_seed1/gpt2/sst2/aug2/meta.json +10 -0
- cache_seed1/gpt2/sst2/domain/meta.json +10 -0
- cache_seed1/gpt2/sst2/iid/meta.json +10 -0
- cache_seed1/gpt2/sst2/paraphrase/meta.json +10 -0
- cache_seed1/gpt2/sst2/train/meta.json +10 -0
- cache_seed1/gpt2/tweet_hate/aug0/meta.json +10 -0
- cache_seed1/gpt2/tweet_hate/aug1/meta.json +10 -0
- cache_seed1/gpt2/tweet_hate/aug2/meta.json +10 -0
- cache_seed1/gpt2/tweet_hate/iid/meta.json +10 -0
- cache_seed1/gpt2/tweet_hate/paraphrase/meta.json +10 -0
- cache_seed1/gpt2/tweet_hate/train/meta.json +10 -0
- cache_seed1/gpt2/tweet_irony/aug0/meta.json +10 -0
- cache_seed1/gpt2/tweet_irony/aug1/meta.json +10 -0
- cache_seed1/gpt2/tweet_irony/aug2/meta.json +10 -0
- cache_seed1/gpt2/tweet_irony/iid/meta.json +10 -0
- cache_seed1/gpt2/tweet_irony/paraphrase/meta.json +10 -0
cache_seed1/gpt2/ag_news/aug0/meta.json
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{
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"model": "gpt2",
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"dataset": "ag_news",
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"distribution": "aug0",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/ag_news/aug1/meta.json
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{
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"model": "gpt2",
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"dataset": "ag_news",
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"distribution": "aug1",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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cache_seed1/gpt2/ag_news/aug2/meta.json
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{
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"model": "gpt2",
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"dataset": "ag_news",
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"distribution": "aug2",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/ag_news/iid/meta.json
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{
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"model": "gpt2",
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"dataset": "ag_news",
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"distribution": "iid",
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"pooling": "mean",
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"n": 800,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/ag_news/paraphrase/meta.json
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{
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"model": "gpt2",
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"dataset": "ag_news",
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"distribution": "paraphrase",
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"pooling": "mean",
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"n": 634,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/ag_news/train/meta.json
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{
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"model": "gpt2",
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"dataset": "ag_news",
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"distribution": "train",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/counterfact/aug0/meta.json
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"model": "gpt2",
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"dataset": "counterfact",
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"distribution": "aug0",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/counterfact/aug1/meta.json
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"model": "gpt2",
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"dataset": "counterfact",
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"distribution": "aug1",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/counterfact/aug2/meta.json
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"model": "gpt2",
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"dataset": "counterfact",
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"distribution": "aug2",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/counterfact/iid/meta.json
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"model": "gpt2",
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"dataset": "counterfact",
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"distribution": "iid",
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"pooling": "mean",
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"n": 800,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/counterfact/paraphrase/meta.json
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"model": "gpt2",
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"dataset": "counterfact",
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"distribution": "paraphrase",
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"pooling": "mean",
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"n": 774,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/counterfact/train/meta.json
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"model": "gpt2",
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"dataset": "counterfact",
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"distribution": "train",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/dbpedia/aug0/meta.json
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"model": "gpt2",
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"dataset": "dbpedia",
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"distribution": "aug0",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/dbpedia/aug1/meta.json
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"model": "gpt2",
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"dataset": "dbpedia",
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"distribution": "aug1",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/dbpedia/aug2/meta.json
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"model": "gpt2",
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"dataset": "dbpedia",
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"distribution": "aug2",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/dbpedia/iid/meta.json
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"model": "gpt2",
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"dataset": "dbpedia",
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"distribution": "iid",
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"pooling": "mean",
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"n": 800,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/dbpedia/paraphrase/meta.json
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"model": "gpt2",
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"dataset": "dbpedia",
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"distribution": "paraphrase",
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"pooling": "mean",
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"n": 389,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/dbpedia/train/meta.json
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"model": "gpt2",
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"dataset": "dbpedia",
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"distribution": "train",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/emotion/aug0/meta.json
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"model": "gpt2",
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"dataset": "emotion",
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"distribution": "aug0",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/emotion/aug1/meta.json
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"model": "gpt2",
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"dataset": "emotion",
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"distribution": "aug1",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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"hidden": 768,
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"dtype": "float16"
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}
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cache_seed1/gpt2/emotion/aug2/meta.json
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"model": "gpt2",
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"dataset": "emotion",
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"distribution": "aug2",
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"pooling": "mean",
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"n": 1500,
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"n_layers": 13,
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| 8 |
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"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/emotion/iid/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "emotion",
|
| 4 |
+
"distribution": "iid",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 800,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/emotion/paraphrase/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "emotion",
|
| 4 |
+
"distribution": "paraphrase",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 739,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/emotion/train/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
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|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "emotion",
|
| 4 |
+
"distribution": "train",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/imdb/aug0/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
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|
|
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|
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|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "imdb",
|
| 4 |
+
"distribution": "aug0",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/imdb/aug1/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "imdb",
|
| 4 |
+
"distribution": "aug1",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/imdb/aug2/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "imdb",
|
| 4 |
+
"distribution": "aug2",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/imdb/domain/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
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|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "imdb",
|
| 4 |
+
"distribution": "domain",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 800,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/imdb/iid/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "imdb",
|
| 4 |
+
"distribution": "iid",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 800,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/imdb/length/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "imdb",
|
| 4 |
+
"distribution": "length",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 658,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/imdb/paraphrase/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "imdb",
|
| 4 |
+
"distribution": "paraphrase",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 490,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/imdb/train/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "imdb",
|
| 4 |
+
"distribution": "train",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/sst2/aug0/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "sst2",
|
| 4 |
+
"distribution": "aug0",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/sst2/aug1/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "sst2",
|
| 4 |
+
"distribution": "aug1",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/sst2/aug2/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "sst2",
|
| 4 |
+
"distribution": "aug2",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/sst2/domain/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "sst2",
|
| 4 |
+
"distribution": "domain",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 800,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/sst2/iid/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "sst2",
|
| 4 |
+
"distribution": "iid",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 800,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/sst2/paraphrase/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "sst2",
|
| 4 |
+
"distribution": "paraphrase",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 719,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/sst2/train/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "sst2",
|
| 4 |
+
"distribution": "train",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_hate/aug0/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_hate",
|
| 4 |
+
"distribution": "aug0",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_hate/aug1/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_hate",
|
| 4 |
+
"distribution": "aug1",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_hate/aug2/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_hate",
|
| 4 |
+
"distribution": "aug2",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_hate/iid/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_hate",
|
| 4 |
+
"distribution": "iid",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 800,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_hate/paraphrase/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_hate",
|
| 4 |
+
"distribution": "paraphrase",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 592,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_hate/train/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_hate",
|
| 4 |
+
"distribution": "train",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_irony/aug0/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_irony",
|
| 4 |
+
"distribution": "aug0",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_irony/aug1/meta.json
ADDED
|
@@ -0,0 +1,10 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_irony",
|
| 4 |
+
"distribution": "aug1",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_irony/aug2/meta.json
ADDED
|
@@ -0,0 +1,10 @@
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_irony",
|
| 4 |
+
"distribution": "aug2",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 1500,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_irony/iid/meta.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_irony",
|
| 4 |
+
"distribution": "iid",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 800,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|
cache_seed1/gpt2/tweet_irony/paraphrase/meta.json
ADDED
|
@@ -0,0 +1,10 @@
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "gpt2",
|
| 3 |
+
"dataset": "tweet_irony",
|
| 4 |
+
"distribution": "paraphrase",
|
| 5 |
+
"pooling": "mean",
|
| 6 |
+
"n": 615,
|
| 7 |
+
"n_layers": 13,
|
| 8 |
+
"hidden": 768,
|
| 9 |
+
"dtype": "float16"
|
| 10 |
+
}
|