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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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- accuracy |
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base_model: distilbert-base-uncased |
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model-index: |
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- name: workornot |
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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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# workornot |
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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: 0.3372 |
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- Accuracy: 0.856 |
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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: 5e-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: 10 |
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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 | 125 | 0.6385 | 0.787 | |
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| No log | 2.0 | 250 | 0.5578 | 0.808 | |
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| No log | 3.0 | 375 | 0.4489 | 0.818 | |
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| 0.5423 | 4.0 | 500 | 0.3610 | 0.843 | |
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| 0.5423 | 5.0 | 625 | 0.3374 | 0.855 | |
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| 0.5423 | 6.0 | 750 | 0.3365 | 0.854 | |
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| 0.5423 | 7.0 | 875 | 0.3331 | 0.857 | |
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| 0.3101 | 8.0 | 1000 | 0.3359 | 0.857 | |
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| 0.3101 | 9.0 | 1125 | 0.3377 | 0.855 | |
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| 0.3101 | 10.0 | 1250 | 0.3372 | 0.856 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
