End of training

README.md

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+---
+license: apache-2.0
+base_model: cyberseclabs/bert-classify-urls-v0.005
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: test_trainer_full
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# test_trainer_full
+
+This model is a fine-tuned version of [cyberseclabs/bert-classify-urls-v0.005](https://huggingface.co/cyberseclabs/bert-classify-urls-v0.005) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1000
+- Accuracy: 0.9823
+- Precision: 0.9744
+- Recall: 0.9732
+- F1: 0.9738
+- Roc Auc: 0.9965
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
+| 0.1474        | 0.3846 | 500  | 0.1319          | 0.9704   | 0.9679    | 0.9437 | 0.9556 | 0.9900  |
+| 0.1275        | 0.7692 | 1000 | 0.0938          | 0.9758   | 0.9739    | 0.9539 | 0.9638 | 0.9957  |
+| 0.1005        | 1.1538 | 1500 | 0.0905          | 0.9767   | 0.9717    | 0.9590 | 0.9653 | 0.9964  |
+| 0.0637        | 1.5385 | 2000 | 0.0842          | 0.9815   | 0.9689    | 0.9767 | 0.9728 | 0.9969  |
+| 0.0568        | 1.9231 | 2500 | 0.0884          | 0.9794   | 0.9666    | 0.9727 | 0.9696 | 0.9972  |
+| 0.0357        | 2.3077 | 3000 | 0.1019          | 0.9810   | 0.9786    | 0.9647 | 0.9716 | 0.9964  |
+| 0.0272        | 2.6923 | 3500 | 0.1000          | 0.9823   | 0.9744    | 0.9732 | 0.9738 | 0.9965  |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "cyberseclabs/bert-classify-urls-v0.005",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 437958648

runs/Jun11_21-01-33_fccc17f20baa/events.out.tfevents.1718139693.fccc17f20baa.24488.0

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training_args.bin

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