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--- |
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license: apache-2.0 |
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base_model: PartAI/TookaBERT-Base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: my_model |
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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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# my_model |
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This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co/PartAI/TookaBERT-Base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5927 |
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- Precision: 0.6667 |
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- Recall: 0.5455 |
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- F1: 0.6 |
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- Accuracy: 0.7660 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 10 | 2.1391 | 0.25 | 0.1818 | 0.2105 | 0.5532 | |
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| No log | 2.0 | 20 | 1.7910 | 0.5556 | 0.4545 | 0.5 | 0.7447 | |
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| No log | 3.0 | 30 | 1.5927 | 0.6667 | 0.5455 | 0.6 | 0.7660 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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