cgoosen/Prompt-Guard-finetuned-ctf-86M

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: mit
+base_model: microsoft/mdeberta-v3-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Prompt-Guard-finetuned-ctf-86M
+  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. -->
+
+# Prompt-Guard-finetuned-ctf-86M
+
+This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0921
+- Accuracy: 0.9821
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6515        | 1.0   | 57   | 0.7140          | 0.4643   |
+| 0.5774        | 2.0   | 114  | 0.5967          | 0.5848   |
+| 0.4838        | 3.0   | 171  | 0.4644          | 0.8661   |
+| 0.4139        | 4.0   | 228  | 0.3317          | 0.9196   |
+| 0.308         | 5.0   | 285  | 0.2373          | 0.9420   |
+| 0.3184        | 6.0   | 342  | 0.2032          | 0.9464   |
+| 0.2798        | 7.0   | 399  | 0.1511          | 0.9643   |
+| 0.2094        | 8.0   | 456  | 0.1347          | 0.9643   |
+| 0.1627        | 9.0   | 513  | 0.0921          | 0.9821   |
+| 0.1539        | 10.0  | 570  | 0.0948          | 0.9777   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.5.0+cu124
+- Datasets 2.18.0
+- Tokenizers 0.19.1

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "microsoft/mdeberta-v3-base",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "POSITIVE",
+    "1": "NEGATIVE"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "NEGATIVE": 1,
+    "POSITIVE": 0
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2",
+  "type_vocab_size": 0,
+  "vocab_size": 251000
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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