metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBert-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: assignment4_ModernBertBase_distilled_clinc
results: []
assignment4_ModernBertBase_distilled_clinc
This model is a fine-tuned version of answerdotai/ModernBert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2197
- Accuracy: 0.9442
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 0.4283 | 0.8984 |
| 1.1736 | 2.0 | 636 | 0.2833 | 0.9319 |
| 1.1736 | 3.0 | 954 | 0.2288 | 0.9445 |
| 0.048 | 4.0 | 1272 | 0.2198 | 0.9435 |
| 0.0048 | 5.0 | 1590 | 0.2197 | 0.9442 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1