Training complete
Browse files- README.md +75 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: mpalaval/bert-ner-3
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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: bert-ner-4
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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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# bert-ner-4
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This model is a fine-tuned version of [mpalaval/bert-ner-3](https://huggingface.co/mpalaval/bert-ner-3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6352
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- Precision: 0.2024
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- Recall: 0.4674
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- F1: 0.2825
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- Accuracy: 0.8901
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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: 10
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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 | 258 | 0.4728 | 0.1508 | 0.4021 | 0.2193 | 0.8795 |
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| 0.0801 | 2.0 | 516 | 0.4265 | 0.1744 | 0.4124 | 0.2451 | 0.8906 |
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| 0.0801 | 3.0 | 774 | 0.5207 | 0.1564 | 0.4296 | 0.2294 | 0.8761 |
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| 0.0513 | 4.0 | 1032 | 0.4908 | 0.1718 | 0.4021 | 0.2407 | 0.8882 |
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| 0.0513 | 5.0 | 1290 | 0.5247 | 0.1967 | 0.4089 | 0.2656 | 0.8988 |
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| 0.0263 | 6.0 | 1548 | 0.5547 | 0.1902 | 0.4261 | 0.2630 | 0.8955 |
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| 0.0263 | 7.0 | 1806 | 0.6413 | 0.1849 | 0.4639 | 0.2644 | 0.8836 |
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| 0.0133 | 8.0 | 2064 | 0.6059 | 0.2035 | 0.4742 | 0.2848 | 0.8900 |
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| 0.0133 | 9.0 | 2322 | 0.6311 | 0.2041 | 0.4742 | 0.2854 | 0.8906 |
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| 0.0088 | 10.0 | 2580 | 0.6352 | 0.2024 | 0.4674 | 0.2825 | 0.8901 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 430993062
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version https://git-lfs.github.com/spec/v1
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oid sha256:18c50ba1471494c60d8c56d72888bf9aca3f675fe516d8aca8d039814d3a4273
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size 430993062
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