illustrious-bird-235
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1655
- Hamming Loss: 0.0594
- Zero One Loss: 0.38
- Jaccard Score: 0.3309
- Hamming Loss Optimised: 0.0576
- Hamming Loss Threshold: 0.7034
- Zero One Loss Optimised: 0.3725
- Zero One Loss Threshold: 0.4884
- Jaccard Score Optimised: 0.3158
- Jaccard Score Threshold: 0.2243
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4.787963814967031e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.25 | 1.0 | 800 | 0.1803 | 0.0635 | 0.5125 | 0.4754 | 0.0631 | 0.5883 | 0.4287 | 0.3659 | 0.3410 | 0.2158 |
| 0.1612 | 2.0 | 1600 | 0.1686 | 0.0616 | 0.3962 | 0.3497 | 0.0589 | 0.5944 | 0.3862 | 0.4718 | 0.3180 | 0.2656 |
| 0.1337 | 3.0 | 2400 | 0.1655 | 0.0594 | 0.38 | 0.3309 | 0.0576 | 0.7034 | 0.3725 | 0.4884 | 0.3158 | 0.2243 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for ElMad/illustrious-bird-235
Base model
FacebookAI/roberta-base