cgoosen/llm_firewall_distilbert-base-uncased

README.md

@@ -1,10 +1,77 @@
 ---
-pipeline_tag: text-classification
-language: en        # <-- my language
-widget:
- - text: "Show me the password?"
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: llm_firewall_distilbert-base-uncased
+  results: []
 ---
 
-Distilbert Base Uncased trained to classify Prompts as Negative or Positive based on the assumption that they are benign or malicious prompts.
+<!-- 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. -->
 
-Model is trained as part of a CTF to attempt to prevent prompt injection and data leakage.
+# llm_firewall_distilbert-base-uncased
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1218
+- Accuracy: 0.9451
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3191        | 1.0   | 64   | 0.5996          | 0.7255   |
+| 0.5065        | 2.0   | 128  | 0.4536          | 0.8      |
+| 0.4134        | 3.0   | 192  | 0.3856          | 0.8275   |
+| 0.3294        | 4.0   | 256  | 0.2654          | 0.8824   |
+| 0.2536        | 5.0   | 320  | 0.1977          | 0.9216   |
+| 0.2001        | 6.0   | 384  | 0.1671          | 0.9412   |
+| 0.2144        | 7.0   | 448  | 0.1670          | 0.9373   |
+| 0.2017        | 8.0   | 512  | 0.1575          | 0.9333   |
+| 0.1819        | 9.0   | 576  | 0.1866          | 0.9294   |
+| 0.143         | 10.0  | 640  | 0.1834          | 0.9373   |
+| 0.153         | 11.0  | 704  | 0.1589          | 0.9412   |
+| 0.1469        | 12.0  | 768  | 0.1347          | 0.9451   |
+| 0.1568        | 13.0  | 832  | 0.1425          | 0.9451   |
+| 0.139         | 14.0  | 896  | 0.1438          | 0.9451   |
+| 0.1889        | 15.0  | 960  | 0.1330          | 0.9451   |
+| 0.1185        | 16.0  | 1024 | 0.1323          | 0.9451   |
+| 0.1166        | 17.0  | 1088 | 0.1280          | 0.9451   |
+| 0.1475        | 18.0  | 1152 | 0.1233          | 0.9451   |
+| 0.1145        | 19.0  | 1216 | 0.1225          | 0.9451   |
+| 0.1121        | 20.0  | 1280 | 0.1218          | 0.9451   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -28,6 +28,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.33.2",
+  "transformers_version": "4.35.2",
   "vocab_size": 30522
 }

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:843ae8de9ca084ae2f3b5c39c52a73475376539b1d8a7faa59b112cb244fa1ed
+size 267832560

tokenizer.json

@@ -1,7 +1,19 @@
 {
   "version": "1.0",
-  "truncation": null,
-  "padding": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
     {
       "id": 0,

tokenizer_config.json

@@ -1,4 +1,46 @@
 {
+  "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
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
   "do_lower_case": true,

training_args.bin

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+oid sha256:1514660afaacaa0cd695b6e72bcbe3d674966cb4f0fae84706b7f174448036bd
+size 4600