End of training
Browse files- README.md +80 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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: distilbert-base-uncased-survey-category-0.0.1
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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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# distilbert-base-uncased-survey-category-0.0.1
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1004
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- Accuracy: 0.9886
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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: 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 20
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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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| No log | 1.0 | 232 | 0.1063 | 0.9773 |
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| No log | 2.0 | 464 | 0.0811 | 0.9773 |
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| 0.2551 | 3.0 | 696 | 0.0704 | 0.9830 |
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| 0.2551 | 4.0 | 928 | 0.0903 | 0.9830 |
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| 0.0423 | 5.0 | 1160 | 0.0949 | 0.9830 |
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| 0.0423 | 6.0 | 1392 | 0.0890 | 0.9886 |
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| 0.0268 | 7.0 | 1624 | 0.0916 | 0.9886 |
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| 0.0268 | 8.0 | 1856 | 0.1001 | 0.9886 |
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| 0.0246 | 9.0 | 2088 | 0.0965 | 0.9886 |
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| 0.0246 | 10.0 | 2320 | 0.1002 | 0.9886 |
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| 0.0156 | 11.0 | 2552 | 0.0785 | 0.9886 |
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| 0.0156 | 12.0 | 2784 | 0.0904 | 0.9886 |
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| 0.0157 | 13.0 | 3016 | 0.0825 | 0.9886 |
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| 0.0157 | 14.0 | 3248 | 0.0999 | 0.9886 |
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| 0.0157 | 15.0 | 3480 | 0.1004 | 0.9886 |
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| 0.0137 | 16.0 | 3712 | 0.1020 | 0.9886 |
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| 0.0137 | 17.0 | 3944 | 0.1010 | 0.9886 |
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| 0.0152 | 18.0 | 4176 | 0.1002 | 0.9886 |
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| 0.0152 | 19.0 | 4408 | 0.0999 | 0.9886 |
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| 0.0114 | 20.0 | 4640 | 0.1004 | 0.9886 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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