doyoungkim
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add model
Browse files- .gitignore +1 -0
- README.md +62 -0
- config.json +27 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model_index:
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name: bert-base-uncased-sst2-membership-attack
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-base-uncased-sst2-membership-attack
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6929
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- Accuracy: 0.5390
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.6932 | 1.0 | 3813 | 0.6929 | 0.5390 |
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| 0.693 | 2.0 | 7626 | 0.6928 | 0.5344 |
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| 0.693 | 3.0 | 11439 | 0.6915 | 0.5103 |
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| 0.693 | 4.0 | 15252 | 0.6909 | 0.4885 |
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| 0.693 | 5.0 | 19065 | 0.6908 | 0.4966 |
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### Framework versions
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- Transformers 4.9.2
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- Pytorch 1.8.1
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- Datasets 1.11.0
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- Tokenizers 0.10.1
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"MembershipAttackForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"pretrained_model_name_or_path": "bert-base-uncased",
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.9.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f7399315e8e92a7c32207750102c18669170490dab51b62a06c10faf6f99b89
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size 438024457
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer_config.json
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{"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "use_fast": true, "max_length": 128, "padding": true, "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": "/home/doyoung/.cache/huggingface/transformers/534479488c54aeaf9c3406f647aa2ec13648c06771ffe269edabebd4c412da1d.7f2721073f19841be16f41b0a70b600ca6b880c8f3df6f3535cbc704371bdfa4", "name_or_path": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b550e0f7e4d492ce1d7ab6cd6efabb7535b82976ba2b4a92b804a0fa13b7c28
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size 2671
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vocab.txt
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