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--- |
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license: cc-by-sa-4.0 |
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base_model: EMBEDDIA/sloberta |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: fine_tuned_boolq_googlemt_sloberta |
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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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# fine_tuned_boolq_googlemt_sloberta |
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This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co./EMBEDDIA/sloberta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6620 |
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- Accuracy: 0.6217 |
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- F1: 0.4767 |
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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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- training_steps: 400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
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| 0.6784 | 0.0424 | 50 | 0.6646 | 0.6217 | 0.4767 | |
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| 0.6768 | 0.0848 | 100 | 0.6692 | 0.6217 | 0.4767 | |
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| 0.6872 | 0.1272 | 150 | 0.6740 | 0.6217 | 0.4767 | |
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| 0.6597 | 0.1696 | 200 | 0.6676 | 0.6217 | 0.4767 | |
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| 0.664 | 0.2120 | 250 | 0.6641 | 0.6217 | 0.4767 | |
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| 0.654 | 0.2545 | 300 | 0.6656 | 0.6217 | 0.4767 | |
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| 0.6709 | 0.2969 | 350 | 0.6621 | 0.6217 | 0.4767 | |
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| 0.6815 | 0.3393 | 400 | 0.6620 | 0.6217 | 0.4767 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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