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AlignmentResearch/robust_llm_wkf9hrss_from_bert-base-uncased
Browse files- README.md +52 -0
- config.json +27 -0
- model.safetensors +3 -0
- runs/Jan25_23-57-34_devbox-n8hrh/events.out.tfevents.1706227060.devbox-n8hrh.4878.0 +3 -0
- runs/Jan25_23-58-27_devbox-n8hrh/events.out.tfevents.1706227113.devbox-n8hrh.5464.0 +3 -0
- runs/Jan26_00-02-08_devbox-n8hrh/events.out.tfevents.1706227334.devbox-n8hrh.6705.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: adversarial_trainer
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results: []
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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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# adversarial_trainer
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 1
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### Training results
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### Framework versions
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- Transformers 4.37.1
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- Pytorch 2.1.2
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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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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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.37.1",
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aab92b9ca4dfaefda4f0c3aa3720ca4f5e2b56b4861d3ac5056cefedb0e6d0b1
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size 437958648
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runs/Jan25_23-57-34_devbox-n8hrh/events.out.tfevents.1706227060.devbox-n8hrh.4878.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3f2e4303a8ed0c2e38f3d2d569339631e8c28130cb4ca45244f9cce54333cb2
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size 4661
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runs/Jan25_23-58-27_devbox-n8hrh/events.out.tfevents.1706227113.devbox-n8hrh.5464.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d77443ee98e821c47b6262df7575bc02962be06ba8009e8525241cba8a62003e
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size 4661
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runs/Jan26_00-02-08_devbox-n8hrh/events.out.tfevents.1706227334.devbox-n8hrh.6705.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f5847e0365cbb2045aa9f52fb07771bae6940c40530b8c906a5398972b44cf23
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size 4661
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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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:dedf59ff1c6e49451fcd7e1d588433dbd171c2284229495bd5e1d0b54e2bada1
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size 4728
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vocab.txt
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