metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-cased-document-casual
results: []
distilbert-base-cased-document-casual
This model is a fine-tuned version of distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0040
- F1-score: 1.0
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 | F1-score |
|---|---|---|---|---|
| 0.1001 | 1.0 | 15 | 0.4818 | 0.8567 |
| 0.0342 | 2.0 | 30 | 0.2931 | 0.9284 |
| 0.0052 | 3.0 | 45 | 0.0131 | 1.0 |
| 0.0024 | 4.0 | 60 | 0.0049 | 1.0 |
| 0.0021 | 5.0 | 75 | 0.0040 | 1.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0