thomasavare
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Upload TFDistilBertForSequenceClassification
Browse files- README.md +49 -0
- config.json +127 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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base_model: 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: distilbert-ft-ttvsplit
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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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# distilbert-ft-ttvsplit
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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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': 1e-05, '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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### Framework versions
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- Transformers 4.38.2
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- TensorFlow 2.15.0
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "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": "ALUMINIUM CAN",
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"1": "ALUMINIUM SHEET",
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"2": "ALUMINIUM TRAY",
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"3": "CIGARETTE BUTT",
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"4": "CIGARETTE PACK",
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"5": "COMPOSTABLE PACKAGING",
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"6": "CONDIMENT PACKETS",
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"7": "COVID TEST",
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"8": "CRUMBLED TISSUE",
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"9": "CYLINDRICAL BATTERY",
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"10": "FACE MASK",
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"11": "GLASS BOTTLE",
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"12": "GLASS JAR",
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"13": "LAPTOP CHARGER",
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"14": "MEDS BLISTER",
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"15": "METAL CAP",
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"16": "MIXED PAPER-PLASTIC PACKAGING",
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"17": "ORGANIC SCRAPS",
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"18": "PAPER BOWL",
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"19": "PAPER CUP",
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"20": "PAPER FOOD PACKAGING",
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"21": "PAPER MAGASINE",
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"22": "PAPER PACKAGING",
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"23": "PAPER PLATE",
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"24": "PAPER SHEET",
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"25": "PAPER SUGAR BAG",
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"26": "PAPER TRAY",
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"27": "PHONE CHARGER",
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"28": "PIZZA BOX",
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"29": "PLASTIC BAG",
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"30": "PLASTIC BOTTLE",
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"31": "PLASTIC BOWL",
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"32": "PLASTIC CAP",
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"33": "PLASTIC CUP",
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"34": "PLASTIC CUTLERY",
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"35": "PLASTIC DISH",
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"36": "PLASTIC GLOVES",
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"37": "PLASTIC PACKAGING",
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"38": "PLASTIC SNACK PACKAGING",
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"39": "PLASTIC STICKS",
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"40": "PLASTIC STRAW",
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"41": "PLASTIC TRAY",
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"42": "RECEIPT",
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"43": "SMARTPHONE",
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"44": "TEA BAG",
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"45": "TETRAPACK",
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"46": "TOBACCO PACK",
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"47": "TRANSPORT TICKET",
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"48": "WOODEN CUTLERY",
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"49": "WOODEN STICKS"
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},
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"initializer_range": 0.02,
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"label2id": {
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"ALUMINIUM CAN": 0,
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"ALUMINIUM SHEET": 1,
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"ALUMINIUM TRAY": 2,
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"CIGARETTE BUTT": 3,
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"CIGARETTE PACK": 4,
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"COMPOSTABLE PACKAGING": 5,
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"CONDIMENT PACKETS": 6,
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"COVID TEST": 7,
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"CRUMBLED TISSUE": 8,
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"CYLINDRICAL BATTERY": 9,
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"FACE MASK": 10,
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"GLASS BOTTLE": 11,
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"GLASS JAR": 12,
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"LAPTOP CHARGER": 13,
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"MEDS BLISTER": 14,
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"METAL CAP": 15,
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"MIXED PAPER-PLASTIC PACKAGING": 16,
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"ORGANIC SCRAPS": 17,
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"PAPER BOWL": 18,
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"PAPER CUP": 19,
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"PAPER FOOD PACKAGING": 20,
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"PAPER MAGASINE": 21,
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"PAPER PACKAGING": 22,
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"PAPER PLATE": 23,
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"PAPER SHEET": 24,
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"PAPER SUGAR BAG": 25,
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"PAPER TRAY": 26,
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"PHONE CHARGER": 27,
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"PIZZA BOX": 28,
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"PLASTIC BAG": 29,
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"PLASTIC BOTTLE": 30,
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"PLASTIC BOWL": 31,
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"PLASTIC CAP": 32,
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"PLASTIC CUP": 33,
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"PLASTIC CUTLERY": 34,
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"PLASTIC DISH": 35,
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"PLASTIC GLOVES": 36,
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"PLASTIC PACKAGING": 37,
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"PLASTIC SNACK PACKAGING": 38,
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"PLASTIC STICKS": 39,
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"PLASTIC STRAW": 40,
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"PLASTIC TRAY": 41,
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"RECEIPT": 42,
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"SMARTPHONE": 43,
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"TEA BAG": 44,
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"TETRAPACK": 45,
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"TOBACCO PACK": 46,
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"TRANSPORT TICKET": 47,
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"WOODEN CUTLERY": 48,
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"WOODEN STICKS": 49
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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": "4.38.2",
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"vocab_size": 30522
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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 sha256:67c0502492d8aa789764d4e3a8af20e80bb2705a18c841b7ad9ee7a69d0e6e49
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size 268099264
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