modernbert_large_project_v03
This model is a fine-tuned version of CocoRoF/modernbert_large_project_v02 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 2048
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.99) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
25.6715 | 0.4381 | 1000 | nan |
23.4063 | 0.8762 | 2000 | nan |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0
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Model tree for CocoRoF/modernbert_large_project_v03
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CocoRoF/modernbert_large_project_v01
Finetuned
CocoRoF/modernbert_large_project_v02