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README.md
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---
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license: apache-2.0
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base_model: MrHungry/lyfi-expert-classification
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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: lyfi-expert2-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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# lyfi-expert2-classification
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This model is a fine-tuned version of [MrHungry/lyfi-expert-classification](https://huggingface.co/MrHungry/lyfi-expert-classification) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0368
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- Accuracy: 0.9942
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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: 3
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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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| 0.2768 | 0.29 | 500 | 0.1136 | 0.9813 |
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| 0.1384 | 0.58 | 1000 | 0.0813 | 0.9866 |
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| 0.106 | 0.88 | 1500 | 0.1128 | 0.9831 |
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| 0.0776 | 1.17 | 2000 | 0.0657 | 0.9889 |
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| 0.055 | 1.46 | 2500 | 0.0528 | 0.9912 |
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| 0.041 | 1.75 | 3000 | 0.0542 | 0.9912 |
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| 0.045 | 2.04 | 3500 | 0.0641 | 0.9889 |
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| 0.0056 | 2.34 | 4000 | 0.0374 | 0.9959 |
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| 0.024 | 2.63 | 4500 | 0.0420 | 0.9947 |
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| 0.0127 | 2.92 | 5000 | 0.0368 | 0.9942 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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runs/Feb26_14-55-10_Mateos-MacBook-Air.local/events.out.tfevents.1708977311.Mateos-MacBook-Air.local.9049.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 10019
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