| | ---
|
| | license: apache-2.0
|
| | base_model: distilbert-base-uncased
|
| | tags:
|
| | - generated_from_trainer
|
| | metrics:
|
| | - accuracy
|
| | model-index:
|
| | - name: Classifier_EUR_01
|
| | results: []
|
| | ---
|
| |
|
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| | should probably proofread and complete it, then remove this comment. -->
|
| |
|
| | # Classifier_EUR_01
|
| |
|
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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
|
| |
|
