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: 0.2732
- F1-score: 0.9033
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 |
|---|---|---|---|---|
| 0.1376 | 0.97 | 15 | 0.6716 | 0.7342 |
| 0.0517 | 2.0 | 31 | 0.3222 | 0.9350 |
| 0.0075 | 2.97 | 46 | 0.2732 | 0.9033 |
| 0.0032 | 4.0 | 62 | 0.2932 | 0.9033 |
| 0.0024 | 4.84 | 75 | 0.2914 | 0.9033 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2