metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-sexism-2
results: []
distilbert-base-uncased-finetuned-sexism-2
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: 1.4929
- Accuracy: 0.8412
- F1: 0.8399
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: 8
- eval_batch_size: 8
- 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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2577 | 1.0 | 1876 | 0.6097 | 0.8401 | 0.8379 |
| 0.1913 | 2.0 | 3752 | 0.7169 | 0.8289 | 0.8307 |
| 0.1416 | 3.0 | 5628 | 0.9146 | 0.8412 | 0.8355 |
| 0.0876 | 4.0 | 7504 | 1.0822 | 0.8358 | 0.8358 |
| 0.0518 | 5.0 | 9380 | 1.1389 | 0.8449 | 0.8437 |
| 0.0436 | 6.0 | 11256 | 1.2191 | 0.8406 | 0.8390 |
| 0.0254 | 7.0 | 13132 | 1.3782 | 0.8348 | 0.8343 |
| 0.0176 | 8.0 | 15008 | 1.5073 | 0.8385 | 0.8368 |
| 0.0151 | 9.0 | 16884 | 1.4749 | 0.8374 | 0.8365 |
| 0.0068 | 10.0 | 18760 | 1.4929 | 0.8412 | 0.8399 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3