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--- |
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library_name: transformers |
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license: mit |
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base_model: roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: kuumba_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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# kuumba_model |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0055 |
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- Mse: 0.0055 |
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- Mae: 0.0547 |
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- R2: 0.9193 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| |
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| No log | 1.0 | 61 | 0.0139 | 0.0139 | 0.0816 | 0.7959 | |
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| No log | 2.0 | 122 | 0.0093 | 0.0093 | 0.0796 | 0.8629 | |
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| No log | 3.0 | 183 | 0.0081 | 0.0081 | 0.0711 | 0.8809 | |
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| No log | 4.0 | 244 | 0.0064 | 0.0064 | 0.0586 | 0.9056 | |
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| No log | 5.0 | 305 | 0.0055 | 0.0055 | 0.0547 | 0.9193 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.20.3 |
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