metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: summerschool-bert-hate
results: []
summerschool-bert-hate
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4316
- Accuracy: 0.5118
- F1: 0.4331
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5997 | 0.1776 | 100 | 0.5804 | 0.699 | 0.6939 |
| 0.5313 | 0.3552 | 200 | 0.5262 | 0.731 | 0.7310 |
| 0.4578 | 0.5329 | 300 | 0.5004 | 0.756 | 0.7557 |
| 0.4562 | 0.7105 | 400 | 0.4935 | 0.762 | 0.7630 |
| 0.411 | 0.8881 | 500 | 0.4921 | 0.757 | 0.7579 |
| 0.3869 | 1.0657 | 600 | 0.4913 | 0.765 | 0.7661 |
| 0.323 | 1.2433 | 700 | 0.5352 | 0.758 | 0.7593 |
| 0.3074 | 1.4210 | 800 | 0.5124 | 0.766 | 0.7669 |
| 0.3043 | 1.5986 | 900 | 0.5107 | 0.764 | 0.7647 |
| 0.3193 | 1.7762 | 1000 | 0.5056 | 0.769 | 0.7701 |
| 0.3324 | 1.9538 | 1100 | 0.4894 | 0.769 | 0.7700 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1