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End of training
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README.md
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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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- f1
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model-index:
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- name: results
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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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# results
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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: 0.2659
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- Accuracy: 0.9139
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- F1: 0.9146
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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: 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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.3249 | 0.2 | 500 | 0.3423 | 0.8562 | 0.8427 |
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| 0.286 | 0.4 | 1000 | 0.3201 | 0.8789 | 0.8861 |
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| 0.2842 | 0.6 | 1500 | 0.2544 | 0.9007 | 0.9009 |
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| 0.2594 | 0.81 | 2000 | 0.2487 | 0.9015 | 0.9036 |
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| 0.2184 | 1.01 | 2500 | 0.2627 | 0.9083 | 0.9081 |
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| 0.1807 | 1.21 | 3000 | 0.2750 | 0.9087 | 0.9070 |
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| 0.1628 | 1.41 | 3500 | 0.2839 | 0.9134 | 0.9130 |
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| 0.1811 | 1.61 | 4000 | 0.2909 | 0.9111 | 0.9094 |
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| 0.1802 | 1.81 | 4500 | 0.2708 | 0.9120 | 0.9133 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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