upload models
Browse files- config.json +27 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- training_config.yaml +68 -0
- vocab.json +0 -0
config.json
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{
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"_name_or_path": "pretrained-models/roberta-large",
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"architectures": [
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"RobertaForMultipleChoiceForPreTrain"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a124a97f6fc06a2d8a7397004235008227c4c58757132d4901a8cbd5326d8bd
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size 1640529050
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.json
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tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "trim_offsets": true, "special_tokens_map_file": null, "name_or_path": "pretrained-models/roberta-large", "tokenizer_class": "RobertaTokenizer"}
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training_config.yaml
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train_file: /home/share/jiaofangkai/wiki_erica_path/v7/union/train_distant.path_v7.train.0.pkl
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dev_file: /home/share/jiaofangkai/wiki_erica_path/v7/union/train_distant.path_v7.dev.pkl
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test_file: null
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model:
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_target_: models.roberta_baseline.RobertaForMultipleChoiceForPreTrain.from_pretrained
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mlp_hidden_size: 2048
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read_tensor:
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_target_: dataset.wiki_entity_path_v8_2.convert_examples_into_features
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max_neg_num: 3
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aug_num: 1
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max_seq_length: 384
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shuffle_context: true
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min_rep_num: 5
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geo_p: 0.4
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deduct_ratio: 1.0
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context_ratio: 1.0
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remove_context: false
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num_workers: 64
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extended_vocab: null
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collator:
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_target_: dataset.wiki_entity_path_v8.WikiPathDatasetCollatorWithContext
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max_seq_length: 320
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tokenizer: pretrained-models/roberta-large
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mlm_probability: 0.15
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max_option_num: 4
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swap: true
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num_workers: 4
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prefetch_factor: 2
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model_name_or_path: pretrained-models/roberta-large
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pretrain: null
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output_dir: experiments/roberta.large.wiki_erica_path_v7_v8.2.2.1aug.fix.seq320.w2.2080Ti
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do_train: Train
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evaluate_during_training: true
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do_eval: false
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eval_sub_path: null
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do_preprocess: false
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per_gpu_train_batch_size: 1
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per_gpu_eval_batch_size: 1
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learning_rate: 0.0001
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gradient_accumulation_steps: 2048
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weight_decay: 0.01
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adam_epsilon: 1.0e-06
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adam_betas: (0.9, 0.98)
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max_grad_norm: 5.0
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num_train_epochs: 1
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max_steps: 500
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warmup_proportion: 0.1
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warmup_steps: 0
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optimizer: lamb
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use_nvlamb: true
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bit_training: null
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logging_steps: 1
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save_steps: 100
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eval_steps: 100
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no_cuda: false
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seed: 42
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local_rank: 0
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fp16: true
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fp16_opt_level: O1
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reshard_after_forward: false
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cpu_offload: false
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move_grads_to_cpu: false
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move_params_to_cpu: false
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n_gpu: 1
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device: cuda:0
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train_batch_size: 1
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eval_batch_size: 1
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note: null
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vocab.json
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