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Added ActivityNet config for finetuning
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Valentin Gabeur
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May 10, 2021
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,157 @@ | ||
| { | ||
| "n_gpu": 1, | ||
| "seed": 0, | ||
| "experts": { | ||
| "face_dim": 512, | ||
| "modalities": [ | ||
| "s3d", | ||
| "vggish" | ||
| ] | ||
| }, | ||
| "arch": { | ||
| "type": "CENet", | ||
| "args": { | ||
| "keep_missing_modalities": true, | ||
| "test_caption_mode": "indep", | ||
| "txt_inp": "bertftn", | ||
| "txt_agg": "bertftn", | ||
| "txt_wgh": "emb", | ||
| "vid_wgh": "none", | ||
| "vid_cont": "bert", | ||
| "vid_inp": "both", | ||
| "pos_enc": "tint", | ||
| "out_tok": "mxp", | ||
| "l2renorm": false, | ||
| "vid_bert_params": { | ||
| "vocab_size_or_config_json_file": 10, | ||
| "hidden_size": 512, | ||
| "num_hidden_layers": 4, | ||
| "num_attention_heads": 4, | ||
| "intermediate_size": 3072, | ||
| "hidden_act": "gelu", | ||
| "hidden_dropout_prob": 0.1, | ||
| "attention_probs_dropout_prob": 0.1, | ||
| "max_position_embeddings": 102, | ||
| "type_vocab_size": 19, | ||
| "initializer_range": 0.02, | ||
| "layer_norm_eps": 1e-12 | ||
| }, | ||
| "txt_pro": "gbn", | ||
| "txt_bert_params": { | ||
| "hidden_dropout_prob": 0.1, | ||
| "attention_probs_dropout_prob": 0.1 | ||
| } | ||
| } | ||
| }, | ||
| "train_sets": [ | ||
| { | ||
| "type": "ExpertDataLoader", | ||
| "args": { | ||
| "mix": [ | ||
| { | ||
| "dataset_name": "ActivityNet", | ||
| "cut_name": "val1", | ||
| "split_name": "trainval", | ||
| "data_dir": "data/activity-net/symlinked-feats", | ||
| "mix_weight": 1.0, | ||
| "query_shuffling": "cat", | ||
| "temporal_encoding_window": 1, | ||
| "max_text_words": 100, | ||
| "max_expert_tokens": 100 | ||
| } | ||
| ], | ||
| "batch_size": 24, | ||
| "num_workers": 64, | ||
| "pin_memory": false | ||
| } | ||
| } | ||
| ], | ||
| "continuous_eval_sets": [ | ||
| { | ||
| "type": "ExpertDataLoader", | ||
| "args": { | ||
| "mix": [ | ||
| { | ||
| "dataset_name": "ActivityNet", | ||
| "cut_name": "val1", | ||
| "split_name": "test", | ||
| "data_dir": "data/activity-net/symlinked-feats", | ||
| "captions_per_video": 1, | ||
| "query_shuffling": "cat", | ||
| "temporal_encoding_window": 1, | ||
| "max_text_words": 100, | ||
| "max_expert_tokens": 100 | ||
| } | ||
| ], | ||
| "batch_size": 24, | ||
| "num_workers": 64, | ||
| "pin_memory": false | ||
| } | ||
| } | ||
| ], | ||
| "final_eval_sets": [ | ||
| { | ||
| "type": "ExpertDataLoader", | ||
| "args": { | ||
| "mix": [ | ||
| { | ||
| "dataset_name": "ActivityNet", | ||
| "cut_name": "val1", | ||
| "split_name": "test", | ||
| "data_dir": "data/activity-net/symlinked-feats", | ||
| "captions_per_video": 1, | ||
| "query_shuffling": "cat", | ||
| "temporal_encoding_window": 1, | ||
| "max_text_words": 100, | ||
| "max_expert_tokens": 100 | ||
| } | ||
| ], | ||
| "batch_size": 24, | ||
| "num_workers": 0, | ||
| "pin_memory": false | ||
| } | ||
| } | ||
| ], | ||
| "optimizer": { | ||
| "type": "Adam", | ||
| "args": { | ||
| "lr": 5e-05, | ||
| "weight_decay": 0 | ||
| } | ||
| }, | ||
| "loss": { | ||
| "type": "MaxMarginRankingLoss", | ||
| "args": { | ||
| "margin": 0.05, | ||
| "fix_norm": true | ||
| } | ||
| }, | ||
| "metrics": [ | ||
| "t2v_metrics", | ||
| "v2t_metrics" | ||
| ], | ||
| "visualizer": { | ||
| "type": "Visualizer", | ||
| "args": { | ||
| "vis_vid_freq": 25.0, | ||
| "num_samples": 20 | ||
| } | ||
| }, | ||
| "lr_scheduler": { | ||
| "type": "StepLR", | ||
| "args": { | ||
| "step_size": 1, | ||
| "gamma": 0.9 | ||
| } | ||
| }, | ||
| "trainer": { | ||
| "epochs": 50, | ||
| "max_samples_per_epoch": 32000, | ||
| "save_period": 1, | ||
| "skip_first_n_saves": 0, | ||
| "include_optim_in_ckpts": true, | ||
| "verbosity": 2, | ||
| "tensorboard": true, | ||
| "monitor": "max epoch" | ||
| } | ||
| } |