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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-base-uncased-lora-text-classification |
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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-lora-text-classification |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.8488 |
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- Accuracy: {'accuracy': 0.8924438393464942} |
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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: 0.001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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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| 0.4284 | 1.0 | 1469 | 0.6122 | {'accuracy': 0.8515997277059224} | |
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| 0.318 | 2.0 | 2938 | 0.4710 | {'accuracy': 0.8686181075561606} | |
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| 0.3091 | 3.0 | 4407 | 0.3991 | {'accuracy': 0.8910823689584751} | |
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| 0.267 | 4.0 | 5876 | 0.3609 | {'accuracy': 0.9081007488087134} | |
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| 0.2111 | 5.0 | 7345 | 0.5392 | {'accuracy': 0.8876786929884275} | |
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| 0.2231 | 6.0 | 8814 | 0.6888 | {'accuracy': 0.8978897208985704} | |
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| 0.1116 | 7.0 | 10283 | 0.6468 | {'accuracy': 0.8965282505105514} | |
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| 0.1111 | 8.0 | 11752 | 0.8718 | {'accuracy': 0.8849557522123894} | |
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| 0.076 | 9.0 | 13221 | 0.8075 | {'accuracy': 0.8965282505105514} | |
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| 0.0672 | 10.0 | 14690 | 0.8488 | {'accuracy': 0.8924438393464942} | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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