metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: request_classifier
results: []
request_classifier
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1127
- Accuracy: 0.8148
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: 8
- 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: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8071 | 1.0 | 16 | 1.7437 | 0.4444 |
| 1.7038 | 2.0 | 32 | 1.5904 | 0.6667 |
| 1.5493 | 3.0 | 48 | 1.3934 | 0.7407 |
| 1.3535 | 4.0 | 64 | 1.2310 | 0.7407 |
| 1.1681 | 5.0 | 80 | 1.1331 | 0.8519 |
| 1.1003 | 6.0 | 96 | 1.0971 | 0.8519 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cpu
- Datasets 4.5.0
- Tokenizers 0.22.2