metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Encoded_Model
results: []
Encoded_Model
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: 0.3141
- Accuracy: 0.8489
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 |
|---|---|---|---|---|
| 0.3767 | 1.0 | 7569 | 0.3760 | 0.8119 |
| 0.3335 | 2.0 | 15138 | 0.3292 | 0.8300 |
| 0.3195 | 3.0 | 22707 | 0.3117 | 0.8419 |
| 0.2739 | 4.0 | 30276 | 0.3142 | 0.8469 |
| 0.263 | 5.0 | 37845 | 0.3141 | 0.8489 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0