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bert-base-uncased-sst-2-64-13-30

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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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: bert-base-uncased-sst-2-64-13-30
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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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+ # bert-base-uncased-sst-2-64-13-30
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5262
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+ - Accuracy: 0.7812
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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: 1.5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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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+ - lr_scheduler_warmup_steps: 5
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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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+ | No log | 1.0 | 4 | 0.7282 | 0.5 |
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+ | No log | 2.0 | 8 | 0.6974 | 0.5391 |
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+ | 0.7077 | 3.0 | 12 | 0.6873 | 0.5312 |
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+ | 0.7077 | 4.0 | 16 | 0.6799 | 0.5078 |
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+ | 0.6218 | 5.0 | 20 | 0.6651 | 0.5469 |
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+ | 0.6218 | 6.0 | 24 | 0.6520 | 0.5938 |
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+ | 0.6218 | 7.0 | 28 | 0.6537 | 0.5781 |
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+ | 0.5204 | 8.0 | 32 | 0.6387 | 0.625 |
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+ | 0.5204 | 9.0 | 36 | 0.6147 | 0.6562 |
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+ | 0.3954 | 10.0 | 40 | 0.5967 | 0.6719 |
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+ | 0.3954 | 11.0 | 44 | 0.5932 | 0.6719 |
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+ | 0.3954 | 12.0 | 48 | 0.6011 | 0.6641 |
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+ | 0.2891 | 13.0 | 52 | 0.5855 | 0.6797 |
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+ | 0.2891 | 14.0 | 56 | 0.5345 | 0.7266 |
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+ | 0.223 | 15.0 | 60 | 0.5222 | 0.7734 |
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+ | 0.223 | 16.0 | 64 | 0.5274 | 0.7422 |
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+ | 0.223 | 17.0 | 68 | 0.5238 | 0.75 |
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+ | 0.1672 | 18.0 | 72 | 0.5203 | 0.7812 |
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+ | 0.1672 | 19.0 | 76 | 0.5166 | 0.7969 |
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+ | 0.1316 | 20.0 | 80 | 0.5132 | 0.7891 |
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+ | 0.1316 | 21.0 | 84 | 0.5118 | 0.7969 |
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+ | 0.1316 | 22.0 | 88 | 0.5129 | 0.7969 |
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+ | 0.1103 | 23.0 | 92 | 0.5170 | 0.8047 |
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+ | 0.1103 | 24.0 | 96 | 0.5216 | 0.7812 |
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+ | 0.09 | 25.0 | 100 | 0.5242 | 0.7891 |
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+ | 0.09 | 26.0 | 104 | 0.5268 | 0.7734 |
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+ | 0.09 | 27.0 | 108 | 0.5272 | 0.7656 |
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+ | 0.0819 | 28.0 | 112 | 0.5266 | 0.7734 |
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+ | 0.0819 | 29.0 | 116 | 0.5263 | 0.7812 |
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+ | 0.0753 | 30.0 | 120 | 0.5262 | 0.7812 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.4.0
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+ - Tokenizers 0.13.3