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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: distilbert-base-uncased |
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model-index: |
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- name: distilbert-base-uncased-tokenclassification_lora |
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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-tokenclassification_lora |
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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: 0.4810 |
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- Precision: 0.0 |
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- Recall: 0.0 |
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- F1: 0.0 |
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- Accuracy: 0.9205 |
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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: 10 |
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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 | 213 | 0.4806 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| No log | 2.0 | 426 | 0.4816 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| 0.3161 | 3.0 | 639 | 0.4816 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| 0.3161 | 4.0 | 852 | 0.4812 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| 0.3152 | 5.0 | 1065 | 0.4808 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| 0.3152 | 6.0 | 1278 | 0.4807 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| 0.3152 | 7.0 | 1491 | 0.4807 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| 0.3167 | 8.0 | 1704 | 0.4808 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| 0.3167 | 9.0 | 1917 | 0.4810 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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| 0.3146 | 10.0 | 2130 | 0.4810 | 0.0 | 0.0 | 0.0 | 0.9205 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
