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--- |
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license: mit |
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base_model: PORTULAN/albertina-100m-portuguese-ptpt-encoder |
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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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- precision |
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- recall |
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model-index: |
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- name: LVI_albertina-100m-portuguese-ptpt-encoder |
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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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# LVI_albertina-100m-portuguese-ptpt-encoder |
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This model is a fine-tuned version of [PORTULAN/albertina-100m-portuguese-ptpt-encoder](https://huggingface.co/PORTULAN/albertina-100m-portuguese-ptpt-encoder) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6932 |
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- Accuracy: 0.5 |
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- F1: 0.0 |
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- Precision: 0.0 |
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- Recall: 0.0 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.5678 | 1.0 | 3217 | 0.6316 | 0.6653 | 0.5619 | 0.8128 | 0.4294 | |
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| 0.6042 | 2.0 | 6434 | 0.6911 | 0.5 | 0.0 | 0.0 | 0.0 | |
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| 0.6946 | 3.0 | 9651 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 | |
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| 0.694 | 4.0 | 12868 | 0.6932 | 0.5 | 0.6667 | 0.5 | 1.0 | |
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| 0.6942 | 5.0 | 16085 | 0.6933 | 0.5 | 0.6667 | 0.5 | 1.0 | |
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| 0.6936 | 6.0 | 19302 | 0.6937 | 0.5 | 0.6667 | 0.5 | 1.0 | |
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| 0.6937 | 7.0 | 22519 | 0.6932 | 0.5 | 0.0 | 0.0 | 0.0 | |
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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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