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semantic-bert-balanced-dataset

Text Classification
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distilbert
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  1. README.md +79 -0
  2. model.safetensors +1 -1
  3. runs/Jan03_12-07-02_Dimitriss-MacBook-Pro.local/events.out.tfevents.1704280023.Dimitriss-MacBook-Pro.local.3889.1 +2 -2
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: semantic-bert-balanced-dataset
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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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+ # semantic-bert-balanced-dataset
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.1862
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+ - Accuracy: 0.5448
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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: 20
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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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+ | No log | 1.0 | 160 | 0.8837 | 0.5746 |
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+ | No log | 2.0 | 320 | 0.9415 | 0.5490 |
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+ | No log | 3.0 | 480 | 1.0334 | 0.5669 |
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+ | 0.7136 | 4.0 | 640 | 1.1917 | 0.5661 |
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+ | 0.7136 | 5.0 | 800 | 1.3571 | 0.5780 |
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+ | 0.7136 | 6.0 | 960 | 1.6461 | 0.5772 |
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+ | 0.2277 | 7.0 | 1120 | 2.1103 | 0.5533 |
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+ | 0.2277 | 8.0 | 1280 | 2.3829 | 0.5584 |
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+ | 0.2277 | 9.0 | 1440 | 2.4821 | 0.5618 |
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+ | 0.0617 | 10.0 | 1600 | 2.7549 | 0.5371 |
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+ | 0.0617 | 11.0 | 1760 | 2.8267 | 0.5499 |
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+ | 0.0617 | 12.0 | 1920 | 2.9028 | 0.5490 |
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+ | 0.0242 | 13.0 | 2080 | 2.9845 | 0.5465 |
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+ | 0.0242 | 14.0 | 2240 | 3.0126 | 0.5541 |
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+ | 0.0242 | 15.0 | 2400 | 3.0791 | 0.5490 |
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+ | 0.0086 | 16.0 | 2560 | 3.0980 | 0.5499 |
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+ | 0.0086 | 17.0 | 2720 | 3.1564 | 0.5456 |
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+ | 0.0086 | 18.0 | 2880 | 3.1723 | 0.5499 |
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+ | 0.0048 | 19.0 | 3040 | 3.1791 | 0.5473 |
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+ | 0.0048 | 20.0 | 3200 | 3.1862 | 0.5448 |
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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 2.3.0.dev20231224
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
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