Upload TFDebertaV2ForSequenceClassification

README.md

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+---
+license: mit
+base_model: microsoft/deberta-v3-small
+tags:
+- generated_from_keras_callback
+model-index:
+- name: ai-detector-deberta
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# ai-detector-deberta
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0031
+- Train Accuracy: 0.9994
+- Validation Loss: 0.0242
+- Validation Accuracy: 0.9924
+- Train Lr: 1e-07
+- Epoch: 2
+
+## 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:
+- optimizer: {'name': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-07, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Lr | Epoch |
+|:----------:|:--------------:|:---------------:|:-------------------:|:--------:|:-----:|
+| 0.0707     | 0.9694         | 0.0260          | 0.9903              | 1e-05    | 0     |
+| 0.0032     | 0.9993         | 0.0383          | 0.9882              | 1e-06    | 1     |
+| 0.0031     | 0.9994         | 0.0242          | 0.9924              | 1e-07    | 2     |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- TensorFlow 2.15.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/deberta-v3-small",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "human",
+    "1": "AI"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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": 6,
+  "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,
+  "transformers_version": "4.41.1",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

tf_model.h5

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