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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: text_classification |
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results: [] |
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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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# text_classification |
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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: 0.3130 |
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- Accuracy: 0.9296 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.0246 | 0.1 | 625 | 0.5761 | 0.8912 | |
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| 1.1268 | 0.2 | 1250 | 0.5357 | 0.8916 | |
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| 1.5699 | 0.3 | 1875 | 0.5982 | 0.8884 | |
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| 1.0828 | 0.4 | 2500 | 0.3852 | 0.9128 | |
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| 0.003 | 0.5 | 3125 | 0.3994 | 0.9236 | |
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| 1.065 | 0.6 | 3750 | 0.3597 | 0.9248 | |
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| 1.1396 | 0.7 | 4375 | 0.3357 | 0.9272 | |
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| 0.0024 | 0.8 | 5000 | 0.3534 | 0.9276 | |
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| 0.0132 | 0.9 | 5625 | 0.3212 | 0.9304 | |
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| 0.0065 | 1.0 | 6250 | 0.3130 | 0.9296 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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