distilbert-base-uncased-lora-text-classification-safeguard-promptinjection

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README.md +50 -182
runs/Sep25_21-09-15_DESKTOP-LM2NI5P/events.out.tfevents.1727291356.DESKTOP-LM2NI5P.20076.0 +3 -0
special_tokens_map.json +7 -0
tokenizer.json +0 -0
tokenizer_config.json +56 -0
training_args.bin +3 -0
vocab.txt +0 -0

README.md CHANGED Viewed

@@ -1,199 +1,67 @@
----
-library_name: transformers
-tags: []
----
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: distilbert-base-uncased
+metrics:
+- f1
+model-index:
+- name: distilbert-base-uncased-lora-text-classification-safeguard-promptinjection
+  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. -->
+# distilbert-base-uncased-lora-text-classification-safeguard-promptinjection
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0200
+- F1: 0.9971
+- Auprc: 0.9966
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | F1     | Auprc  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.0598        | 1.0   | 1030 | 0.0220          | 0.9961 | 0.9946 |
+| 0.0273        | 2.0   | 2060 | 0.0199          | 0.9961 | 0.9946 |
+| 0.0321        | 3.0   | 3090 | 0.0334          | 0.9951 | 0.9945 |
+| 0.0099        | 4.0   | 4120 | 0.0345          | 0.9937 | 0.9929 |
+| 0.0059        | 5.0   | 5150 | 0.0200          | 0.9971 | 0.9966 |
+### Framework versions
+- PEFT 0.11.1
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu118
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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special_tokens_map.json ADDED Viewed

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer.json ADDED Viewed

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tokenizer_config.json ADDED Viewed

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin ADDED Viewed

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vocab.txt ADDED Viewed

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