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--- |
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license: mit |
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base_model: microsoft/xtremedistil-l6-h256-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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datasets: |
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- pszemraj/OCR-quality-classification |
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language: |
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- en |
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--- |
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# xtremedistil-l6-h256-uncased: OCR-quality-classification |
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This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://hf.co/microsoft/xtremedistil-l6-h256-uncased) on `pszemraj/OCR-quality-classification` |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0316 |
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- Accuracy: 0.994 |
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- Num Input Tokens Seen: 57341952 |
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## Intended uses & limitations |
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predict whether a document is clean or noisy |
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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: 3e-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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:| |
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| 0.0812 | 0.2660 | 250 | 0.0860 | 0.986 | 8192000 | |
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| 0.0637 | 0.5321 | 500 | 0.0532 | 0.988 | 16384000 | |
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| 0.031 | 0.7981 | 750 | 0.0463 | 0.99 | 24576000 | |
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| 0.0315 | 1.0641 | 1000 | 0.0343 | 0.992 | 32765952 | |
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| 0.0223 | 1.3301 | 1250 | 0.0337 | 0.994 | 40957952 | |
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| 0.0137 | 1.5962 | 1500 | 0.0423 | 0.99 | 49149952 | |
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| 0.0186 | 1.8622 | 1750 | 0.0316 | 0.994 | 57341952 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
