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--- |
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license: apache-2.0 |
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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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- precision |
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- recall |
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- f1 |
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base_model: duraad/nep-spell-mt5-small-01 |
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model-index: |
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- name: nep-spell-mt5-small-02 |
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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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# nep-spell-mt5-small-02 |
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This model is a fine-tuned version of [duraad/nep-spell-mt5-small-01](https://huggingface.co/duraad/nep-spell-mt5-small-01) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0018 |
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- Accuracy: 0.732 |
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- Precision: 0.8016 |
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- Recall: 0.732 |
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- F1: 0.7563 |
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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: 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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.0088 | 1.0 | 10000 | 0.0018 | 0.732 | 0.8016 | 0.732 | 0.7563 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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