End of training
Browse files- README.md +71 -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: robbert0410_lrate7.5b4
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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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# robbert0410_lrate7.5b4
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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: 0.4079
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- Precisions: 0.7671
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- Recall: 0.7305
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- F-measure: 0.7455
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- Accuracy: 0.8904
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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: 7.5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 8
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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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| 0.7027 | 1.0 | 942 | 0.4843 | 0.8628 | 0.6861 | 0.6969 | 0.8785 |
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| 0.3645 | 2.0 | 1884 | 0.4079 | 0.7671 | 0.7305 | 0.7455 | 0.8904 |
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| 0.238 | 3.0 | 2826 | 0.5338 | 0.7981 | 0.7422 | 0.7486 | 0.8957 |
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| 0.1894 | 4.0 | 3768 | 0.6026 | 0.8327 | 0.7495 | 0.7668 | 0.9049 |
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| 0.0825 | 5.0 | 4710 | 0.5781 | 0.7825 | 0.7859 | 0.7833 | 0.9055 |
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| 0.0523 | 6.0 | 5652 | 0.6107 | 0.8084 | 0.7591 | 0.7712 | 0.9124 |
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| 0.0388 | 7.0 | 6594 | 0.6455 | 0.8090 | 0.7802 | 0.7894 | 0.9107 |
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| 0.0253 | 8.0 | 7536 | 0.6711 | 0.8168 | 0.7825 | 0.7937 | 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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