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--- |
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license: apache-2.0 |
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base_model: alexanderfalk/danbert-small-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: MeMo_BERT-SA_danbert |
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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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# MeMo_BERT-SA_danbert |
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This model is a fine-tuned version of [alexanderfalk/danbert-small-cased](https://huggingface.co/alexanderfalk/danbert-small-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4690 |
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- F1-score: 0.6544 |
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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: 5e-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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1-score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 297 | 1.0065 | 0.5054 | |
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| 0.8685 | 2.0 | 594 | 1.0551 | 0.5964 | |
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| 0.8685 | 3.0 | 891 | 1.3189 | 0.5761 | |
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| 0.3832 | 4.0 | 1188 | 2.0270 | 0.6322 | |
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| 0.3832 | 5.0 | 1485 | 2.1568 | 0.6076 | |
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| 0.1519 | 6.0 | 1782 | 3.3066 | 0.5763 | |
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| 0.0403 | 7.0 | 2079 | 3.1085 | 0.6049 | |
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| 0.0403 | 8.0 | 2376 | 3.1069 | 0.6269 | |
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| 0.009 | 9.0 | 2673 | 3.2610 | 0.6213 | |
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| 0.009 | 10.0 | 2970 | 3.3529 | 0.6355 | |
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| 0.0123 | 11.0 | 3267 | 3.4172 | 0.6306 | |
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| 0.0089 | 12.0 | 3564 | 3.4950 | 0.6187 | |
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| 0.0089 | 13.0 | 3861 | 3.7618 | 0.6117 | |
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| 0.0053 | 14.0 | 4158 | 3.5352 | 0.6252 | |
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| 0.0053 | 15.0 | 4455 | 3.7667 | 0.6120 | |
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| 0.0047 | 16.0 | 4752 | 3.4690 | 0.6544 | |
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| 0.0059 | 17.0 | 5049 | 3.6646 | 0.6256 | |
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| 0.0059 | 18.0 | 5346 | 3.6611 | 0.6319 | |
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| 0.0018 | 19.0 | 5643 | 3.7555 | 0.6423 | |
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| 0.0018 | 20.0 | 5940 | 3.7564 | 0.6422 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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