End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: synapti/nci-ner-v2-stage-a
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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model-index:
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- name: nci-ner-v2
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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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# nci-ner-v2
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This model is a fine-tuned version of [synapti/nci-ner-v2-stage-a](https://huggingface.co/synapti/nci-ner-v2-stage-a) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5857
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- Precision: 0.8651
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- Recall: 0.9020
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- F1: 0.8832
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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-06
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- train_batch_size: 16
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 3
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- label_smoothing_factor: 0.05
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|
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| 0.7627 | 0.0346 | 100 | 0.5908 | 0.8479 | 0.8877 | 0.8673 |
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| 0.5656 | 0.0692 | 200 | 0.4720 | 0.8733 | 0.8316 | 0.8519 |
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| 0.5146 | 0.1038 | 300 | 0.4855 | 0.7862 | 0.7272 | 0.7555 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.10.0+cu128
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- Datasets 2.21.0
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- Tokenizers 0.20.3
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 496357908
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version https://git-lfs.github.com/spec/v1
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size 496357908
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