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--- |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: training_with_callbacks |
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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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# training_with_callbacks |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1529 |
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- Precision: 0.4993 |
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- Recall: 0.5397 |
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- F1: 0.5187 |
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- Accuracy: 0.9661 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 205 | 0.1641 | 0.3048 | 0.3556 | 0.3282 | 0.9556 | |
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| No log | 2.0 | 410 | 0.1387 | 0.4741 | 0.4365 | 0.4545 | 0.9642 | |
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| 0.1943 | 3.0 | 615 | 0.1430 | 0.4690 | 0.4810 | 0.4749 | 0.9648 | |
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| 0.1943 | 4.0 | 820 | 0.1481 | 0.4993 | 0.5365 | 0.5172 | 0.9655 | |
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| 0.0496 | 5.0 | 1025 | 0.1529 | 0.4993 | 0.5397 | 0.5187 | 0.9661 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.0+cpu |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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