End of training
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README.md
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---
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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-hft
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model-index:
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- name: nep-spell-hft
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results: []
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# nep-spell-hft
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This model
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It achieves the following results on the evaluation set:
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- Loss: 0.0066
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- Accuracy: 0.4528
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- Precision: 0.4606
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- Recall: 0.4528
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- F1: 0.4554
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## Model description
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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:
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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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| 0.0112 | 0.63 | 8000 | 0.0071 | 0.4159 | 0.4228 | 0.4159 | 0.4182 |
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| 0.0106 | 1.27 | 16000 | 0.0068 | 0.4401 | 0.4477 | 0.4401 | 0.4426 |
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| 0.0094 | 1.9 | 24000 | 0.0066 | 0.4528 | 0.4606 | 0.4528 | 0.4554 |
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### Framework versions
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: nep-spell-hft
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results: []
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# nep-spell-hft
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This model was trained from scratch on the None dataset.
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## Model description
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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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### Framework versions
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training_args.bin
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size 4219
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version https://git-lfs.github.com/spec/v1
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size 4219
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