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distilbert-base-uncased__subj__train-8-4

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Inference Endpoints
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+ ---
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+ license: apache-2.0
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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: distilbert-base-uncased__subj__train-8-4
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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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+ # distilbert-base-uncased__subj__train-8-4
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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: 0.3305
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+ - Accuracy: 0.8565
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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: 4
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+ - eval_batch_size: 4
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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: 50
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+ - mixed_precision_training: Native AMP
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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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+ | 0.6991 | 1.0 | 3 | 0.6772 | 0.75 |
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+ | 0.6707 | 2.0 | 6 | 0.6704 | 0.75 |
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+ | 0.6402 | 3.0 | 9 | 0.6608 | 1.0 |
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+ | 0.5789 | 4.0 | 12 | 0.6547 | 0.75 |
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+ | 0.5211 | 5.0 | 15 | 0.6434 | 0.75 |
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+ | 0.454 | 6.0 | 18 | 0.6102 | 1.0 |
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+ | 0.4187 | 7.0 | 21 | 0.5701 | 1.0 |
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+ | 0.3401 | 8.0 | 24 | 0.5289 | 1.0 |
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+ | 0.3107 | 9.0 | 27 | 0.4737 | 1.0 |
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+ | 0.2381 | 10.0 | 30 | 0.4255 | 1.0 |
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+ | 0.1982 | 11.0 | 33 | 0.3685 | 1.0 |
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+ | 0.1631 | 12.0 | 36 | 0.3200 | 1.0 |
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+ | 0.1234 | 13.0 | 39 | 0.2798 | 1.0 |
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+ | 0.0993 | 14.0 | 42 | 0.2455 | 1.0 |
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+ | 0.0781 | 15.0 | 45 | 0.2135 | 1.0 |
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+ | 0.0586 | 16.0 | 48 | 0.1891 | 1.0 |
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+ | 0.0513 | 17.0 | 51 | 0.1671 | 1.0 |
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+ | 0.043 | 18.0 | 54 | 0.1427 | 1.0 |
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+ | 0.0307 | 19.0 | 57 | 0.1225 | 1.0 |
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+ | 0.0273 | 20.0 | 60 | 0.1060 | 1.0 |
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+ | 0.0266 | 21.0 | 63 | 0.0920 | 1.0 |
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+ | 0.0233 | 22.0 | 66 | 0.0823 | 1.0 |
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+ | 0.0185 | 23.0 | 69 | 0.0751 | 1.0 |
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+ | 0.0173 | 24.0 | 72 | 0.0698 | 1.0 |
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+ | 0.0172 | 25.0 | 75 | 0.0651 | 1.0 |
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+ | 0.0142 | 26.0 | 78 | 0.0613 | 1.0 |
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+ | 0.0151 | 27.0 | 81 | 0.0583 | 1.0 |
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+ | 0.0117 | 28.0 | 84 | 0.0563 | 1.0 |
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+ | 0.0123 | 29.0 | 87 | 0.0546 | 1.0 |
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+ | 0.0121 | 30.0 | 90 | 0.0531 | 1.0 |
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+ | 0.0123 | 31.0 | 93 | 0.0511 | 1.0 |
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+ | 0.0112 | 32.0 | 96 | 0.0496 | 1.0 |
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+ | 0.0103 | 33.0 | 99 | 0.0481 | 1.0 |
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+ | 0.0086 | 34.0 | 102 | 0.0468 | 1.0 |
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+ | 0.0096 | 35.0 | 105 | 0.0457 | 1.0 |
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+ | 0.0107 | 36.0 | 108 | 0.0447 | 1.0 |
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+ | 0.0095 | 37.0 | 111 | 0.0439 | 1.0 |
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+ | 0.0102 | 38.0 | 114 | 0.0429 | 1.0 |
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+ | 0.0077 | 39.0 | 117 | 0.0422 | 1.0 |
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+ | 0.0092 | 40.0 | 120 | 0.0415 | 1.0 |
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+ | 0.0083 | 41.0 | 123 | 0.0409 | 1.0 |
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+ | 0.0094 | 42.0 | 126 | 0.0404 | 1.0 |
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+ | 0.0084 | 43.0 | 129 | 0.0400 | 1.0 |
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+ | 0.0085 | 44.0 | 132 | 0.0396 | 1.0 |
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+ | 0.0092 | 45.0 | 135 | 0.0392 | 1.0 |
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+ | 0.0076 | 46.0 | 138 | 0.0389 | 1.0 |
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+ | 0.0073 | 47.0 | 141 | 0.0388 | 1.0 |
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+ | 0.0085 | 48.0 | 144 | 0.0387 | 1.0 |
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+ | 0.0071 | 49.0 | 147 | 0.0386 | 1.0 |
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+ | 0.0079 | 50.0 | 150 | 0.0386 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.15.0
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+ - Pytorch 1.10.2+cu102
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+ - Datasets 1.18.2
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+ - Tokenizers 0.10.3