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cdp_hyl_fd

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BERT_fd_cdp_hyl

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  2. config.json +37 -0
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README.md ADDED
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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_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: cdp_hyl_fd
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # cdp_hyl_fd
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+
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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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+ - Loss: 0.4997
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+ - Accuracy: 0.8235
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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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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 25
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.7019 | 1.0 | 55 | 1.1939 | 0.5 |
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+ | 0.1305 | 2.0 | 110 | 0.6574 | 0.7353 |
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+ | 0.0242 | 3.0 | 165 | 0.5197 | 0.8235 |
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+ | 0.0081 | 4.0 | 220 | 0.3666 | 0.8824 |
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+ | 0.0051 | 5.0 | 275 | 0.4560 | 0.8529 |
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+ | 0.0035 | 6.0 | 330 | 0.4470 | 0.8235 |
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+ | 0.0026 | 7.0 | 385 | 0.4395 | 0.8529 |
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+ | 0.0022 | 8.0 | 440 | 0.4486 | 0.8235 |
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+ | 0.0018 | 9.0 | 495 | 0.4684 | 0.8235 |
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+ | 0.0015 | 10.0 | 550 | 0.4644 | 0.8529 |
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+ | 0.0013 | 11.0 | 605 | 0.4669 | 0.8235 |
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+ | 0.0012 | 12.0 | 660 | 0.4657 | 0.8235 |
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+ | 0.0011 | 13.0 | 715 | 0.4799 | 0.8235 |
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+ | 0.001 | 14.0 | 770 | 0.4817 | 0.8235 |
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+ | 0.0009 | 15.0 | 825 | 0.4998 | 0.8235 |
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+ | 0.0008 | 16.0 | 880 | 0.4964 | 0.8235 |
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+ | 0.0008 | 17.0 | 935 | 0.5025 | 0.8235 |
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+ | 0.0007 | 18.0 | 990 | 0.4954 | 0.8235 |
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+ | 0.0007 | 19.0 | 1045 | 0.4933 | 0.8235 |
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+ | 0.0007 | 20.0 | 1100 | 0.5014 | 0.8235 |
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+ | 0.0006 | 21.0 | 1155 | 0.4961 | 0.8235 |
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+ | 0.0006 | 22.0 | 1210 | 0.4955 | 0.8235 |
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+ | 0.0006 | 23.0 | 1265 | 0.4984 | 0.8235 |
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+ | 0.0006 | 24.0 | 1320 | 0.4988 | 0.8235 |
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+ | 0.0006 | 25.0 | 1375 | 0.4997 | 0.8235 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.1
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+ - Pytorch 2.1.1+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
config.json ADDED
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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": "Community Info",
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+ "1": "End of Conversation",
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+ "2": "Schedule A Tour",
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+ "3": "Unit Availability"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Community Info": 0,
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+ "End of Conversation": 1,
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+ "Schedule A Tour": 2,
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+ "Unit Availability": 3
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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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+ "problem_type": "single_label_classification",
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.1",
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+ "vocab_size": 30522
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+ }
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