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_lrate7.5b32
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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_lrate7.5b32
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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: 0.5259
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- Precisions: 0.8050
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- Recall: 0.7984
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- F-measure: 0.8013
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- Accuracy: 0.9128
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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: 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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| 0.6483 | 1.0 | 118 | 0.3862 | 0.8737 | 0.6655 | 0.6815 | 0.8772 |
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| 0.3233 | 2.0 | 236 | 0.3337 | 0.7936 | 0.7423 | 0.7497 | 0.8995 |
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| 0.1934 | 3.0 | 354 | 0.3600 | 0.7488 | 0.7661 | 0.7482 | 0.8980 |
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| 0.1207 | 4.0 | 472 | 0.3525 | 0.8202 | 0.7535 | 0.7731 | 0.9056 |
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| 0.0775 | 5.0 | 590 | 0.4264 | 0.7906 | 0.7756 | 0.7811 | 0.8998 |
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| 0.05 | 6.0 | 708 | 0.4335 | 0.8100 | 0.7965 | 0.7999 | 0.9087 |
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| 0.0335 | 7.0 | 826 | 0.4759 | 0.8380 | 0.7810 | 0.7987 | 0.9107 |
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| 0.0249 | 8.0 | 944 | 0.5115 | 0.8254 | 0.7788 | 0.7976 | 0.9100 |
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| 0.014 | 9.0 | 1062 | 0.5206 | 0.8249 | 0.7883 | 0.7973 | 0.9107 |
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| 0.0082 | 10.0 | 1180 | 0.5259 | 0.8050 | 0.7984 | 0.8013 | 0.9128 |
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| 0.0061 | 11.0 | 1298 | 0.5238 | 0.8068 | 0.7953 | 0.8005 | 0.9118 |
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| 0.0056 | 12.0 | 1416 | 0.5385 | 0.8059 | 0.7939 | 0.7995 | 0.9114 |
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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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-
oid sha256:
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size 464775913
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version https://git-lfs.github.com/spec/v1
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oid sha256:88d8e98b6da261d0b96fca0cbb51f5b914139bcb0f346f1be9483ba6cca04da7
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size 464775913
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