metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: >-
distilbert-base-uncased-finetuned-nlp-letters-full_text-degendered-class-weighted
results: []
distilbert-base-uncased-finetuned-nlp-letters-full_text-degendered-class-weighted
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: 0.0045
- F1: 0.9964
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 165 | 0.0091 | 0.9946 |
| No log | 2.0 | 330 | 0.0045 | 0.9964 |
| No log | 3.0 | 495 | 0.0133 | 0.9964 |
| 0.0233 | 4.0 | 660 | 0.0169 | 0.9964 |
| 0.0233 | 5.0 | 825 | 0.0185 | 0.9964 |
| 0.0233 | 6.0 | 990 | 0.0197 | 0.9964 |
| 0.0002 | 7.0 | 1155 | 0.0204 | 0.9964 |
| 0.0002 | 8.0 | 1320 | 0.0209 | 0.9964 |
| 0.0002 | 9.0 | 1485 | 0.0212 | 0.9964 |
| 0.0001 | 10.0 | 1650 | 0.0213 | 0.9964 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1