metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Classifier_EUR_01
results: []
Classifier_EUR_01
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8187
- Accuracy: 0.7537
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5467 | 1.0 | 2795 | 0.5496 | 0.7765 |
| 0.5311 | 2.0 | 5590 | 0.8505 | 0.7765 |
| 0.5339 | 3.0 | 8385 | 0.5301 | 0.7765 |
| 0.5273 | 4.0 | 11180 | 0.5696 | 0.7770 |
| 0.4915 | 5.0 | 13975 | 0.8418 | 0.7542 |
| 0.4574 | 6.0 | 16770 | 0.8187 | 0.7537 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2