worried-toad-975
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: 0.1650
- Hamming Loss: 0.059
- Zero One Loss: 0.4075
- Jaccard Score: 0.3603
- Hamming Loss Optimised: 0.0575
- Hamming Loss Threshold: 0.6209
- Zero One Loss Optimised: 0.3962
- Zero One Loss Threshold: 0.4716
- Jaccard Score Optimised: 0.3248
- Jaccard Score Threshold: 0.2474
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: 2.892049305888303e-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: 2
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.2591 | 1.0 | 800 | 0.1727 | 0.0599 | 0.5037 | 0.4656 | 0.0599 | 0.5138 | 0.4437 | 0.4005 | 0.3325 | 0.1963 |
| 0.1577 | 2.0 | 1600 | 0.1650 | 0.059 | 0.4075 | 0.3603 | 0.0575 | 0.6209 | 0.3962 | 0.4716 | 0.3248 | 0.2474 |
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/worried-toad-975
Base model
FacebookAI/roberta-base