metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: trusting-pig-816
results: []
trusting-pig-816
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1592
- Hamming Loss: 0.0565
- Zero One Loss: 0.4150
- Jaccard Score: 0.3578
- Hamming Loss Optimised: 0.0563
- Hamming Loss Threshold: 0.6142
- Zero One Loss Optimised: 0.405
- Zero One Loss Threshold: 0.4535
- Jaccard Score Optimised: 0.3293
- Jaccard Score Threshold: 0.2819
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: 2.6914757226504776e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9666943806564104,0.8490809509863677) and epsilon=1e-07 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 0.1833 | 0.0671 | 0.5188 | 0.4833 | 0.0656 | 0.4303 | 0.4663 | 0.3399 | 0.3971 | 0.2889 |
| No log | 2.0 | 200 | 0.1570 | 0.0581 | 0.4337 | 0.3803 | 0.057 | 0.5935 | 0.4275 | 0.4301 | 0.3281 | 0.2506 |
| No log | 3.0 | 300 | 0.1592 | 0.0565 | 0.4150 | 0.3578 | 0.0563 | 0.6142 | 0.405 | 0.4535 | 0.3293 | 0.2819 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0