metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
datasets:
- cuad-qa
model-index:
- name: cuad_qa_model
results: []
cuad_qa_model
This model is a fine-tuned version of answerdotai/ModernBERT-base on the cuad-qa 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use 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 |
|---|---|---|---|
| 0.0 | 1.0 | 1404 | nan |
| 0.0 | 2.0 | 2808 | nan |
| 0.0 | 2.9984 | 4209 | nan |
Framework versions
- Transformers 4.48.0
- Pytorch 2.2.0
- Datasets 3.2.0
- Tokenizers 0.21.0