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Training in progress epoch 0

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Files changed (7) hide show
  1. README.md +55 -0
  2. config.json +153 -0
  3. special_tokens_map.json +7 -0
  4. tf_model.h5 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +55 -0
  7. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert/distilbert-base-uncased
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: harsh4248/ai_vs_human_classification_2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # harsh4248/ai_vs_human_classification_2
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+
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+ This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 1.3238
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+ - Validation Loss: 1.3084
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+ - Train Accuracy: 0.5420
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 70665, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Train Accuracy | Epoch |
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+ |:----------:|:---------------:|:--------------:|:-----:|
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+ | 1.3238 | 1.3084 | 0.5420 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - TensorFlow 2.15.0
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "distilbert/distilbert-base-uncased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "Bloom-7B",
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+ "1": "Claude-Instant-v1",
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+ "2": "Claude-v1",
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+ "3": "Cohere-Command",
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+ "4": "Dolphin-2.5-Mixtral-8x7B",
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+ "5": "Dolphin-Mixtral-8x7B",
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+ "6": "Falcon-180B",
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+ "7": "Flan-T5-Base",
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+ "8": "Flan-T5-Large",
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+ "9": "Flan-T5-Small",
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+ "10": "Flan-T5-XL",
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+ "11": "Flan-T5-XXL",
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+ "12": "GLM-130B",
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+ "13": "GPT-3.5",
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+ "14": "GPT-4",
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+ "15": "GPT-J",
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+ "16": "GPT-NeoX",
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+ "17": "Gemini-Pro",
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+ "18": "Goliath-120B",
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+ "19": "Human",
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+ "20": "LLaMA-13B",
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+ "21": "LLaMA-2-70B",
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+ "22": "LLaMA-2-7B",
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+ "23": "LLaMA-30B",
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+ "24": "LLaMA-65B",
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+ "25": "LLaMA-7B",
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+ "26": "LZLV-70B",
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+ "27": "Mistral-7B",
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+ "30": "MythoMax-L2-13B",
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+ "31": "Neural-Chat-7B",
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+ "32": "Noromaid-20B",
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+ "33": "Nous-Capybara-34B",
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+ "34": "Nous-Capybara-7B",
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+ "35": "Nous-Hermes-LLaMA-2-13B",
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+ "36": "Nous-Hermes-LLaMA-2-70B",
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+ "47": "PaLM-2",
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+ "48": "Psyfighter-13B",
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+ "50": "RWKV-5-World-3B",
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+ "51": "StripedHyena-Nous-7B",
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+ "52": "T0-11B",
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+ "53": "T0-3B",
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+ "54": "Text-Ada-001",
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+ "55": "Text-Babbage-001",
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+ "56": "Text-Curie-001",
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+ "57": "Text-Davinci-001",
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+ "58": "Text-Davinci-002",
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+ "59": "Text-Davinci-003",
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+ "60": "Toppy-M-7B",
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+ "61": "Unknown",
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+ "62": "YI-34B"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Bloom-7B": 0,
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+ "Claude-Instant-v1": 1,
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+ "Cohere-Command": 3,
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+ "Dolphin-2.5-Mixtral-8x7B": 4,
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+ "Falcon-180B": 6,
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+ "Flan-T5-Base": 7,
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+ "Flan-T5-Large": 8,
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+ "Flan-T5-Small": 9,
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+ "Flan-T5-XL": 10,
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+ "GLM-130B": 12,
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+ "GPT-3.5": 13,
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+ "GPT-4": 14,
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ }
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vocab.txt ADDED
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