metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cdp_ca_fd_dtmt
results: []
cdp_ca_fd_dtmt
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: 0.4051
- Accuracy: 0.9506
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0543 | 1.0 | 442 | 0.3174 | 0.9506 |
| 0.001 | 2.0 | 884 | 0.3845 | 0.9383 |
| 0.0001 | 3.0 | 1326 | 0.4476 | 0.9383 |
| 0.0001 | 4.0 | 1768 | 0.4027 | 0.9506 |
| 0.0 | 5.0 | 2210 | 0.4051 | 0.9506 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0