metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: defiant-cow-743
results: []
defiant-cow-743
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: 0.1694
- Hamming Loss: 0.0587
- Zero One Loss: 0.3888
- Jaccard Score: 0.3282
- Hamming Loss Optimised: 0.0546
- Hamming Loss Threshold: 0.7112
- Zero One Loss Optimised: 0.385
- Zero One Loss Threshold: 0.5227
- Jaccard Score Optimised: 0.3043
- Jaccard Score Threshold: 0.3381
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: 7.559719999499729e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9012137258321917,0.9887626606614206) 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 | 0.1620 | 0.0604 | 0.475 | 0.4250 | 0.0595 | 0.5386 | 0.4363 | 0.3884 | 0.3294 | 0.3229 |
| No log | 2.0 | 200 | 0.1549 | 0.0563 | 0.3862 | 0.3276 | 0.0561 | 0.6040 | 0.3875 | 0.5045 | 0.3064 | 0.3565 |
| No log | 3.0 | 300 | 0.1694 | 0.0587 | 0.3888 | 0.3282 | 0.0546 | 0.7112 | 0.385 | 0.5227 | 0.3043 | 0.3381 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0