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--- |
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base_model: ixa-ehu/berteus-base-cased |
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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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model-index: |
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- name: MT_authorship_att2 |
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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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# MT_authorship_att2 |
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This model is a fine-tuned version of [ixa-ehu/berteus-base-cased](https://huggingface.co/ixa-ehu/berteus-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3781 |
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- Accuracy: 0.8086 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 1024 |
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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: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.5214 | 0.9994 | 783 | 0.4172 | 0.7824 | |
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| 0.3949 | 1.9989 | 1566 | 0.3966 | 0.7937 | |
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| 0.3614 | 2.9996 | 2350 | 0.3804 | 0.8047 | |
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| 0.3315 | 3.9990 | 3133 | 0.3770 | 0.8071 | |
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| 0.32 | 4.9972 | 3915 | 0.3781 | 0.8086 | |
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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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