profoz/parent_malicious_model
Browse files- README.md +28 -17
- config.json +27 -0
- model.safetensors +3 -0
- runs/Apr29_19-09-09_c1643fcbec05/events.out.tfevents.1714418050.c1643fcbec05.2347.0 +3 -0
- runs/Apr29_21-47-48_c1643fcbec05/events.out.tfevents.1714427567.c1643fcbec05.48372.0 +3 -0
- runs/Apr29_21-47-48_c1643fcbec05/events.out.tfevents.1714431806.c1643fcbec05.48372.1 +3 -0
- special_tokens_map.json +5 -22
- tokenizer.json +0 -0
- tokenizer_config.json +27 -34
- training_args.bin +2 -2
- vocab.txt +0 -0
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: results
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results: []
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# results
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 1
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type:
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch
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| 1.0008 | 2.0 | 810 | 1.2599 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1
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- Datasets 2.
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- Tokenizers 0.
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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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metrics:
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- accuracy
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model-index:
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- name: results
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results: []
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# results
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1696
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- Accuracy: 0.9308
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- Class 0 Precision: 0.9947
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- Class 0 Recall: 0.9319
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- Class 0 F1: 0.9623
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- Class 0 Support: 132570
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- Class 1 Precision: 0.4316
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- Class 1 Recall: 0.9118
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- Class 1 F1: 0.5859
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- Class 1 Support: 7517
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## Model description
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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: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Class 0 Precision | Class 0 Recall | Class 0 F1 | Class 0 Support | Class 1 Precision | Class 1 Recall | Class 1 F1 | Class 1 Support |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|:--------------:|:----------:|:---------------:|:-----------------:|:--------------:|:----------:|:---------------:|
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| 0.2116 | 0.9998 | 2830 | 0.1709 | 0.9437 | 0.9334 | 0.9671 | 0.9500 | 6265 | 0.9574 | 0.9146 | 0.9355 | 5058 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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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": 2048,
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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": "4.40.0",
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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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size 442677248
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runs/Apr29_19-09-09_c1643fcbec05/events.out.tfevents.1714418050.c1643fcbec05.2347.0
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runs/Apr29_21-47-48_c1643fcbec05/events.out.tfevents.1714427567.c1643fcbec05.48372.0
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runs/Apr29_21-47-48_c1643fcbec05/events.out.tfevents.1714431806.c1643fcbec05.48372.1
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special_tokens_map.json
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{
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"pad_token": "[PAD]",
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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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training_args.bin
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size
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version https://git-lfs.github.com/spec/v1
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vocab.txt
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