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SharonTudi
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DIALOGUE_overfit_check

Text Classification
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distilbert
Generated from Trainer
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Files changed (9) hide show
  1. README.md +107 -0
  2. config.json +39 -0
  3. model.safetensors +3 -0
  4. runs/Jan11_10-26-06_6627229b378c/events.out.tfevents.1704968768.6627229b378c.527.0 +3 -0
  5. runs/Jan11_11-15-09_6627229b378c/events.out.tfevents.1704971710.6627229b378c.527.6 +3 -0
  6. special_tokens_map.json +7 -0
  7. tokenizer_config.json +57 -0
  8. training_args.bin +3 -0
  9. 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: bert-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: DIALOGUE_overfit_check
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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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+ # DIALOGUE_overfit_check
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0484
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+ - Accuracy: 0.9902
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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: 3e-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 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.0341 | 0.62 | 30 | 0.5507 | 0.9804 |
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+ | 0.4228 | 1.25 | 60 | 0.1294 | 1.0 |
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+ | 0.1359 | 1.88 | 90 | 0.0530 | 0.9902 |
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+ | 0.0358 | 2.5 | 120 | 0.0157 | 0.9902 |
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+ | 0.0056 | 3.12 | 150 | 0.0235 | 0.9902 |
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+ | 0.0033 | 3.75 | 180 | 0.0489 | 0.9902 |
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+ | 0.0024 | 4.38 | 210 | 0.0463 | 0.9902 |
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+ | 0.0019 | 5.0 | 240 | 0.0422 | 0.9902 |
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+ | 0.0015 | 5.62 | 270 | 0.0401 | 0.9902 |
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+ | 0.0013 | 6.25 | 300 | 0.0401 | 0.9902 |
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+ | 0.0011 | 6.88 | 330 | 0.0416 | 0.9902 |
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+ | 0.001 | 7.5 | 360 | 0.0423 | 0.9902 |
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+ | 0.0009 | 8.12 | 390 | 0.0432 | 0.9902 |
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+ | 0.0008 | 8.75 | 420 | 0.0432 | 0.9902 |
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+ | 0.0008 | 9.38 | 450 | 0.0440 | 0.9902 |
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+ | 0.0007 | 10.0 | 480 | 0.0435 | 0.9902 |
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+ | 0.0006 | 10.62 | 510 | 0.0431 | 0.9902 |
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+ | 0.0006 | 11.25 | 540 | 0.0424 | 0.9902 |
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+ | 0.0006 | 11.88 | 570 | 0.0430 | 0.9902 |
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+ | 0.0005 | 12.5 | 600 | 0.0442 | 0.9902 |
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+ | 0.0005 | 13.12 | 630 | 0.0445 | 0.9902 |
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+ | 0.0005 | 13.75 | 660 | 0.0447 | 0.9902 |
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+ | 0.0004 | 14.38 | 690 | 0.0449 | 0.9902 |
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+ | 0.0004 | 15.0 | 720 | 0.0449 | 0.9902 |
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+ | 0.0004 | 15.62 | 750 | 0.0449 | 0.9902 |
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+ | 0.0004 | 16.25 | 780 | 0.0456 | 0.9902 |
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+ | 0.0004 | 16.88 | 810 | 0.0456 | 0.9902 |
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+ | 0.0004 | 17.5 | 840 | 0.0458 | 0.9902 |
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+ | 0.0004 | 18.12 | 870 | 0.0462 | 0.9902 |
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+ | 0.0004 | 18.75 | 900 | 0.0463 | 0.9902 |
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+ | 0.0003 | 19.38 | 930 | 0.0467 | 0.9902 |
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+ | 0.0003 | 20.0 | 960 | 0.0470 | 0.9902 |
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+ | 0.0003 | 20.62 | 990 | 0.0472 | 0.9902 |
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+ | 0.0003 | 21.25 | 1020 | 0.0473 | 0.9902 |
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+ | 0.0003 | 21.88 | 1050 | 0.0475 | 0.9902 |
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+ | 0.0003 | 22.5 | 1080 | 0.0477 | 0.9902 |
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+ | 0.0003 | 23.12 | 1110 | 0.0478 | 0.9902 |
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+ | 0.0003 | 23.75 | 1140 | 0.0478 | 0.9902 |
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+ | 0.0003 | 24.38 | 1170 | 0.0476 | 0.9902 |
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+ | 0.0003 | 25.0 | 1200 | 0.0480 | 0.9902 |
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+ | 0.0003 | 25.62 | 1230 | 0.0480 | 0.9902 |
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+ | 0.0003 | 26.25 | 1260 | 0.0479 | 0.9902 |
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+ | 0.0003 | 26.88 | 1290 | 0.0481 | 0.9902 |
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+ | 0.0003 | 27.5 | 1320 | 0.0482 | 0.9902 |
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+ | 0.0003 | 28.12 | 1350 | 0.0483 | 0.9902 |
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+ | 0.0003 | 28.75 | 1380 | 0.0483 | 0.9902 |
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+ | 0.0003 | 29.38 | 1410 | 0.0483 | 0.9902 |
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+ | 0.0003 | 30.0 | 1440 | 0.0484 | 0.9902 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 2,
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