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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: Distilbert-finetuned-w-teacher
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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-finetuned-w-teacher
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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: 0.0372
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- Accuracy: 0.9319
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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: 48
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- eval_batch_size: 48
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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: 8
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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 | 318 | 0.4101 | 0.67 |
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| 0.6452 | 2.0 | 636 | 0.1427 | 0.8442 |
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| 0.6452 | 3.0 | 954 | 0.0757 | 0.8965 |
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| 0.1678 | 4.0 | 1272 | 0.0545 | 0.9129 |
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| 0.0852 | 5.0 | 1590 | 0.0446 | 0.9242 |
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| 0.0852 | 6.0 | 1908 | 0.0401 | 0.9274 |
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| 0.0652 | 7.0 | 2226 | 0.0384 | 0.9313 |
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| 0.0581 | 8.0 | 2544 | 0.0372 | 0.9319 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.15.2
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