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--- |
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license: apache-2.0 |
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base_model: google/electra-base-discriminator |
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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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- accuracy |
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model-index: |
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- name: electra-finetuned-ner-S800 |
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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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# electra-finetuned-ner-S800 |
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This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0697 |
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- Precision: 0.6146 |
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- Recall: 0.7181 |
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- F1: 0.6624 |
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- Accuracy: 0.9758 |
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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: 2e-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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 55 | 0.1115 | 0.4736 | 0.5161 | 0.4940 | 0.9552 | |
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| No log | 2.0 | 110 | 0.0765 | 0.5789 | 0.6690 | 0.6207 | 0.9721 | |
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| No log | 3.0 | 165 | 0.0711 | 0.5671 | 0.7055 | 0.6288 | 0.9730 | |
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| No log | 4.0 | 220 | 0.0698 | 0.6266 | 0.7083 | 0.6649 | 0.9753 | |
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| No log | 5.0 | 275 | 0.0697 | 0.6146 | 0.7181 | 0.6624 | 0.9758 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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