babylm_2024_phase_based_curriculum_git_flamingo
Baseline and curriculum models for the babylm 2024 challenge. The bert pos tagger is also for the curriculum learning models.
0.2B • Updated • 7 • 1Note This is GIT model trained on the image-caption pairs only (50M tokens) using standard i.i.d training for 8 epochs.
simpleParadox/seed_0_git_causal_image_caption_only_curriculum_final_model_8_epochs
0.2B • Updated • 6Note This is GIT model trained on the image-caption pairs only (50M tokens) using curriculum training for 8 epochs.
simpleParadox/seed_0_git_causal_initialize_with_text_image_caption_only_standard_final_model_8_epochs
0.2B • Updated • 9Note This is GIT model first trained on the text-only dataset (50M tokens) using standard i.i.d training, for 20 epochs. Then the model training is continued on the image-caption pairs (50M tokens) using standard i.i.d training for 8 epochs. Total tokens seen by the model is 100M tokens.
simpleParadox/seed_0_git_causal_initialize_with_text_image_caption_only_curriculum_final_model_8_epochs
0.2B • Updated • 5Note This is GIT model first trained on the text-only dataset (50M tokens) using standard i.i.d training, for 20 epochs. Then the model training is continued on the image-caption pairs (50M tokens) using curriculum training for 8 epochs. Total tokens seen by the model is 100M tokens.
simpleParadox/seed_0_flamingo_causal_image_caption_only_standard_final_model_8_epochs
0.3B • Updated • 10Note This is Flamingo model trained on the image-caption pairs only (50M tokens) using standard i.i.d training for 8 epochs.
simpleParadox/seed_0_flamingo_causal_image_caption_only_curriculum_final_model_8_epochs
0.3B • Updated • 9Note This is Flamingo model trained on the image-caption pairs only (50M tokens) using curriculum training for 8 epochs.
simpleParadox/seed_0_flamingo_causal_initialize_with_text_image_caption_only_standard_final_model_8_epochs
0.3B • Updated • 4Note This is Flamingo model first trained on the text-only dataset (50M tokens) using standard i.i.d training, for 20 epochs. Then the model training is continued on the image-caption pairs (50M tokens) using standard i.i.d training for 8 epochs. Total tokens seen by the model is 100M tokens.
simpleParadox/seed_0_flamingo_causal_initialize_with_text_image_caption_only_curriculum_final_model_8_epochs
0.3B • Updated • 6Note This is Flamingo model first trained on the text-only dataset (50M tokens) using standard i.i.d training, for 20 epochs. Then the model training is continued on the image-caption pairs (50M tokens) using curriculum training for 8 epochs. Total tokens seen by the model is 100M tokens.
simpleParadox/bert_pos_tagger_babylm_2024
0.1B • Updated • 6Note This bert should only be used when ranking the image-caption for the ranking of the data. In other words, this is the scoring function that counts the number of nouns. This model should be not be run on the evaluation pipeline.
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simpleParadox/seed_1_flamingo_causal_image_caption_only_curriculum_final_model_8_epochs
0.3B • Updated • 7 -
simpleParadox/seed_1_flamingo_causal_image_caption_only_standard_final_model_8_epochs
Updated • 6 -
simpleParadox/seed_1_flamingo_causal_initialize_with_text_image_caption_only_curriculum_final_model_8_epochs
Updated • 7 -
simpleParadox/seed_1_flamingo_causal_initialize_with_text_image_caption_only_standard_final_model_8_epochs
Updated • 2 -
simpleParadox/seed_2_flamingo_causal_image_caption_only_curriculum_final_model_8_epochs
0.3B • Updated • 5 -
simpleParadox/seed_2_flamingo_causal_image_caption_only_standard_final_model_8_epochs
Updated • 6 -
simpleParadox/seed_2_flamingo_causal_initialize_with_text_image_caption_only_curriculum_final_model_8_epochs
Updated • 4