End of training
Browse files- README.md +75 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: pdelobelle/robbert-v2-dutch-base
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tags:
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- generated_from_trainer
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metrics:
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- recall
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- accuracy
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model-index:
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- name: robbert0510_lrate10b32
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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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# robbert0510_lrate10b32
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This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5022
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- Precisions: 0.8217
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- Recall: 0.7879
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- F-measure: 0.8011
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- Accuracy: 0.9168
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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: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 12
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
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| 0.625 | 1.0 | 118 | 0.4136 | 0.8611 | 0.6751 | 0.6866 | 0.8713 |
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| 0.3164 | 2.0 | 236 | 0.3284 | 0.8110 | 0.7374 | 0.7474 | 0.8959 |
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| 0.187 | 3.0 | 354 | 0.3490 | 0.7578 | 0.7662 | 0.7524 | 0.9060 |
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| 0.1083 | 4.0 | 472 | 0.3738 | 0.8164 | 0.7748 | 0.7855 | 0.9120 |
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| 0.0778 | 5.0 | 590 | 0.4234 | 0.7579 | 0.7677 | 0.7583 | 0.9042 |
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| 0.0526 | 6.0 | 708 | 0.4802 | 0.8348 | 0.7556 | 0.7688 | 0.9049 |
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| 0.0358 | 7.0 | 826 | 0.4723 | 0.8322 | 0.7671 | 0.7909 | 0.9107 |
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| 0.023 | 8.0 | 944 | 0.4758 | 0.8024 | 0.7975 | 0.7973 | 0.9107 |
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| 0.016 | 9.0 | 1062 | 0.5112 | 0.7991 | 0.7889 | 0.7917 | 0.9084 |
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| 0.0117 | 10.0 | 1180 | 0.5022 | 0.8217 | 0.7879 | 0.8011 | 0.9168 |
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| 0.0072 | 11.0 | 1298 | 0.5286 | 0.8190 | 0.7875 | 0.8009 | 0.9165 |
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| 0.0052 | 12.0 | 1416 | 0.5207 | 0.8056 | 0.7929 | 0.7987 | 0.9135 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 464775913
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version https://git-lfs.github.com/spec/v1
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oid sha256:91d4e933b27e49793942335ea9297d67ea73ec5a97886438cff2d5197fcd5222
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size 464775913
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