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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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- 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_token_classification_14_techs
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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_token_classification_14_techs
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0225
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- Precision: 0.8752
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- Recall: 0.9167
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- F1: 0.8955
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- Accuracy: 0.9927
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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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| 0.5777 | 1.0 | 1907 | 0.4271 | 0.3517 | 0.0988 | 0.1543 | 0.8843 |
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| 0.3951 | 2.0 | 3814 | 0.2512 | 0.4325 | 0.3259 | 0.3717 | 0.9227 |
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| 0.2678 | 3.0 | 5721 | 0.1405 | 0.5783 | 0.5598 | 0.5689 | 0.9580 |
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| 0.153 | 4.0 | 7628 | 0.0924 | 0.6640 | 0.6804 | 0.6721 | 0.9725 |
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| 0.1129 | 5.0 | 9535 | 0.0717 | 0.7014 | 0.7462 | 0.7231 | 0.9773 |
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| 0.0798 | 6.0 | 11442 | 0.0598 | 0.7699 | 0.8102 | 0.7895 | 0.9832 |
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| 0.0637 | 7.0 | 13349 | 0.0405 | 0.8221 | 0.8484 | 0.8351 | 0.9883 |
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| 0.0483 | 8.0 | 15256 | 0.0307 | 0.8259 | 0.8818 | 0.8529 | 0.9893 |
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| 0.0375 | 9.0 | 17163 | 0.0244 | 0.8674 | 0.9123 | 0.8893 | 0.9919 |
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| 0.0315 | 10.0 | 19070 | 0.0225 | 0.8752 | 0.9167 | 0.8955 | 0.9927 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.13.3
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