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SharonTudi
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CONTEXT_one

Text Classification
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distilbert
Generated from Trainer
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  1. README.md +113 -0
  2. config.json +38 -0
  3. model.safetensors +3 -0
  4. runs/Jan25_16-33-08_6162960f4225/events.out.tfevents.1706200394.6162960f4225.182.0 +3 -0
  5. special_tokens_map.json +7 -0
  6. tokenizer_config.json +57 -0
  7. training_args.bin +3 -0
  8. 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-base-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: CONTEXT_one
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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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+ # CONTEXT_one
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+
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+ This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1031
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+ - Precision: 0.8202
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+ - Recall: 0.8158
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+ - F1: 0.8134
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+ - Accuracy: 0.8158
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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: 8
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+ - eval_batch_size: 8
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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: 30
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 1.3141 | 0.62 | 30 | 1.1728 | 0.4060 | 0.4868 | 0.4214 | 0.4868 |
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+ | 0.8655 | 1.25 | 60 | 0.8567 | 0.7238 | 0.7237 | 0.7207 | 0.7237 |
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+ | 0.6189 | 1.88 | 90 | 0.6433 | 0.7395 | 0.7368 | 0.7361 | 0.7368 |
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+ | 0.4575 | 2.5 | 120 | 0.6314 | 0.7661 | 0.7632 | 0.7625 | 0.7632 |
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+ | 0.3123 | 3.12 | 150 | 0.6091 | 0.7636 | 0.7632 | 0.7621 | 0.7632 |
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+ | 0.215 | 3.75 | 180 | 0.6095 | 0.7769 | 0.7763 | 0.7758 | 0.7763 |
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+ | 0.2901 | 4.38 | 210 | 0.6833 | 0.7409 | 0.7368 | 0.7367 | 0.7368 |
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+ | 0.2169 | 5.0 | 240 | 0.6651 | 0.8354 | 0.8289 | 0.8285 | 0.8289 |
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+ | 0.1721 | 5.62 | 270 | 0.6578 | 0.8530 | 0.8421 | 0.8416 | 0.8421 |
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+ | 0.2103 | 6.25 | 300 | 0.7525 | 0.7506 | 0.75 | 0.7481 | 0.75 |
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+ | 0.1021 | 6.88 | 330 | 0.6357 | 0.8725 | 0.8684 | 0.8681 | 0.8684 |
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+ | 0.1115 | 7.5 | 360 | 1.0796 | 0.7510 | 0.75 | 0.7452 | 0.75 |
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+ | 0.05 | 8.12 | 390 | 0.6933 | 0.8444 | 0.8289 | 0.8264 | 0.8289 |
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+ | 0.0419 | 8.75 | 420 | 0.7248 | 0.8295 | 0.8158 | 0.8135 | 0.8158 |
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+ | 0.0521 | 9.38 | 450 | 1.0193 | 0.7867 | 0.7895 | 0.7848 | 0.7895 |
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+ | 0.0197 | 10.0 | 480 | 0.7878 | 0.7867 | 0.7895 | 0.7848 | 0.7895 |
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+ | 0.0165 | 10.62 | 510 | 1.3815 | 0.7232 | 0.7105 | 0.6969 | 0.7105 |
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+ | 0.0321 | 11.25 | 540 | 0.9198 | 0.7867 | 0.7895 | 0.7848 | 0.7895 |
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+ | 0.0202 | 11.88 | 570 | 0.9919 | 0.8044 | 0.8026 | 0.7993 | 0.8026 |
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+ | 0.0046 | 12.5 | 600 | 1.1230 | 0.7622 | 0.7632 | 0.7528 | 0.7632 |
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+ | 0.0044 | 13.12 | 630 | 0.8484 | 0.8579 | 0.8553 | 0.8551 | 0.8553 |
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+ | 0.0019 | 13.75 | 660 | 1.0979 | 0.7925 | 0.7895 | 0.7855 | 0.7895 |
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+ | 0.0018 | 14.38 | 690 | 1.3561 | 0.7480 | 0.75 | 0.7438 | 0.75 |
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+ | 0.0021 | 15.0 | 720 | 1.0228 | 0.8006 | 0.8026 | 0.7991 | 0.8026 |
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+ | 0.0014 | 15.62 | 750 | 0.9298 | 0.8422 | 0.8421 | 0.8413 | 0.8421 |
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+ | 0.0014 | 16.25 | 780 | 0.9537 | 0.8276 | 0.8289 | 0.8274 | 0.8289 |
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+ | 0.0012 | 16.88 | 810 | 0.9708 | 0.8276 | 0.8289 | 0.8274 | 0.8289 |
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+ | 0.0013 | 17.5 | 840 | 1.0009 | 0.8276 | 0.8289 | 0.8274 | 0.8289 |
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+ | 0.0011 | 18.12 | 870 | 0.9999 | 0.8037 | 0.8026 | 0.7997 | 0.8026 |
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+ | 0.0011 | 18.75 | 900 | 0.9871 | 0.8037 | 0.8026 | 0.7997 | 0.8026 |
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+ | 0.001 | 19.38 | 930 | 0.9885 | 0.8276 | 0.8289 | 0.8274 | 0.8289 |
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+ | 0.001 | 20.0 | 960 | 1.0078 | 0.8276 | 0.8289 | 0.8274 | 0.8289 |
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+ | 0.0009 | 20.62 | 990 | 1.0204 | 0.8037 | 0.8026 | 0.7997 | 0.8026 |
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+ | 0.0008 | 21.25 | 1020 | 1.0312 | 0.8037 | 0.8026 | 0.7997 | 0.8026 |
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+ | 0.0008 | 21.88 | 1050 | 1.0438 | 0.8037 | 0.8026 | 0.7997 | 0.8026 |
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+ | 0.0008 | 22.5 | 1080 | 1.0647 | 0.8037 | 0.8026 | 0.7997 | 0.8026 |
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+ | 0.0008 | 23.12 | 1110 | 1.0633 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 23.75 | 1140 | 1.0661 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0008 | 24.38 | 1170 | 1.0871 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 25.0 | 1200 | 1.0965 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 25.62 | 1230 | 1.0893 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 26.25 | 1260 | 1.0935 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 26.88 | 1290 | 1.0942 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 27.5 | 1320 | 1.0949 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 28.12 | 1350 | 1.0937 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 28.75 | 1380 | 1.0986 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 29.38 | 1410 | 1.1030 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+ | 0.0007 | 30.0 | 1440 | 1.1031 | 0.8202 | 0.8158 | 0.8134 | 0.8158 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
config.json ADDED
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+ {
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+ "_name_or_path": "distilbert-base-cased",
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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": "Hospital-Inform",
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+ "1": "Hospital-Request",
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+ "2": "general-bye",
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+ "3": "general-thank"
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2,
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+ "LABEL_3": 3
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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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+ "output_past": true,
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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": "4.37.1",
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+ "vocab_size": 28996
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+ }
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