Commit
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86caa4b
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Parent(s):
7cf7837
End of training
Browse files- README.md +61 -0
- config.json +52 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +57 -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: google/mobilebert-uncased
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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: awesomeeeeee_model
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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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# awesomeeeeee_model
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0518
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- Accuracy: 0.9871
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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: 3e-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: 2
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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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| 0.0575 | 1.0 | 26146 | 0.0743 | 0.9852 |
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| 0.0388 | 2.0 | 52292 | 0.0518 | 0.9871 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.0.1
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "google/mobilebert-uncased",
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"architectures": [
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"MobileBertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_activation": false,
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"classifier_dropout": null,
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"embedding_size": 128,
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"hidden_act": "relu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 512,
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"id2label": {
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"0": "SQL Injection",
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"1": "XSS",
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"2": "Forceful Browsing",
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"3": "Path Traversal",
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"4": "Insecure Authentication & Information Exposure",
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"5": "Unauthorized Access & Scanning Tool",
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"6": "normal"
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},
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"intra_bottleneck_size": 128,
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"key_query_shared_bottleneck": true,
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"label2id": {
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"Forceful Browsing": 2,
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"Insecure Authentication & Information Exposure": 4,
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"Path Traversal": 3,
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"SQL Injection": 0,
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"Unauthorized Access & Scanning Tool": 5,
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"XSS": 1,
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"normal": 6
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "mobilebert",
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"normalization_type": "no_norm",
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"num_attention_heads": 4,
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"trigram_input": true,
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"true_hidden_size": 128,
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"type_vocab_size": 2,
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"use_bottleneck": true,
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"use_bottleneck_attention": false,
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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 sha256:28205868d0afe187aab55d7464106f0fa62c40fcf8247bead466a2c68049aa75
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size 98731170
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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_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_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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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": "MobileBertTokenizer",
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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:c94231569a5d79ed2a1490c79af3fc28fc12dadbd0dc9dd34f3889a27eece8e1
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size 4091
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vocab.txt
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