metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: datrix-text-classification-job_35666fe1
results: []
datrix-text-classification-job_35666fe1
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: 0.2504
- Accuracy: 0.94
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: 16
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.7420 | 1.0 | 113 | 0.3796 | 0.935 |
| 0.3012 | 2.0 | 226 | 0.2669 | 0.93 |
| 0.1477 | 3.0 | 339 | 0.2515 | 0.93 |
| 0.0918 | 4.0 | 452 | 0.2729 | 0.925 |
| 0.0420 | 5.0 | 565 | 0.2504 | 0.94 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2