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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cuad_qa_model
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the cuad-qa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2765
- Jaccard: 0.3298
## 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: 8e-05
- train_batch_size: 3
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Jaccard |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 4.0374 | 0.3224 | 300 | 2.0316 | 0.3097 |
| 2.2477 | 0.6448 | 600 | 1.4555 | 0.3400 |
| 2.0917 | 0.9672 | 900 | 1.3932 | 0.3600 |
| 1.7293 | 1.2891 | 1200 | 1.2932 | 0.3288 |
| 1.709 | 1.6115 | 1500 | 1.2642 | 0.3280 |
| 1.7021 | 1.9339 | 1800 | 1.2142 | 0.3456 |
| 1.3928 | 2.2558 | 2100 | 1.2952 | 0.3295 |
| 1.3582 | 2.5782 | 2400 | 1.2791 | 0.3298 |
| 1.3509 | 2.9006 | 2700 | 1.2765 | 0.3298 |
### Framework versions
- Transformers 4.49.0.dev0
- Pytorch 2.4.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
|