Training in progress epoch 0
Browse files- README.md +55 -0
- config.json +153 -0
- special_tokens_map.json +7 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- vocab.txt +0 -0
README.md
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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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<!-- 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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# harsh4248/ai_vs_human_classification_2
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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
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config.json
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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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"28": "Mistral-7B-OpenOrca",
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"29": "Mixtral-8x7B",
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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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"37": "OPT-1.3B",
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"38": "OPT-125M",
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"39": "OPT-13B",
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"40": "OPT-2.7B",
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"41": "OPT-30B",
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"42": "OPT-350M",
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"43": "OPT-6.7B",
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"44": "OpenChat-3.5",
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"45": "OpenHermes-2-Mistral-7B",
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"46": "OpenHermes-2.5-Mistral-7B",
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"47": "PaLM-2",
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"48": "Psyfighter-13B",
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"49": "Psyfighter-2-13B",
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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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"Claude-v1": 2,
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"Cohere-Command": 3,
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"Dolphin-2.5-Mixtral-8x7B": 4,
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"Dolphin-Mixtral-8x7B": 5,
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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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"Flan-T5-XXL": 11,
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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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"GPT-J": 15,
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"GPT-NeoX": 16,
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"Gemini-Pro": 17,
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"Goliath-120B": 18,
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"Human": 19,
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"LLaMA-13B": 20,
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"LLaMA-2-70B": 21,
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"LLaMA-2-7B": 22,
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"LLaMA-30B": 23,
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"LLaMA-65B": 24,
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"LLaMA-7B": 25,
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"LZLV-70B": 26,
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"Mistral-7B": 27,
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"Mistral-7B-OpenOrca": 28,
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"Mixtral-8x7B": 29,
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"MythoMax-L2-13B": 30,
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"Neural-Chat-7B": 31,
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"Noromaid-20B": 32,
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"Nous-Capybara-34B": 33,
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"Nous-Capybara-7B": 34,
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"Nous-Hermes-LLaMA-2-13B": 35,
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"Nous-Hermes-LLaMA-2-70B": 36,
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"OPT-1.3B": 37,
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"OPT-125M": 38,
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"OPT-13B": 39,
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"OPT-2.7B": 40,
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"OPT-30B": 41,
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"OPT-350M": 42,
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"OPT-6.7B": 43,
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"OpenChat-3.5": 44,
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"OpenHermes-2-Mistral-7B": 45,
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"OpenHermes-2.5-Mistral-7B": 46,
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"PaLM-2": 47,
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"Psyfighter-13B": 48,
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"Psyfighter-2-13B": 49,
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"RWKV-5-World-3B": 50,
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"StripedHyena-Nous-7B": 51,
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"T0-11B": 52,
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"T0-3B": 53,
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"Text-Ada-001": 54,
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"Text-Babbage-001": 55,
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"Text-Curie-001": 56,
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"Text-Davinci-001": 57,
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"Text-Davinci-002": 58,
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"Text-Davinci-003": 59,
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"Toppy-M-7B": 60,
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"Unknown": 61,
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"YI-34B": 62
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.40.2",
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"vocab_size": 30522
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}
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ec0bd5d0163e2c064159e92c382bc69c1993310c3ad5d0794786ae6226d29a3
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size 268139200
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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