metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-cased-news-16batch_10epoch_2e5lr_01wd
results: []
bert-base-cased-news-16batch_10epoch_2e5lr_01wd
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4558
- F1: 0.9211
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: 47
- 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 |
|---|---|---|---|---|
| 0.0626 | 1.0 | 3124 | 0.2043 | 0.9160 |
| 0.0337 | 2.0 | 6248 | 0.2799 | 0.9154 |
| 0.0243 | 3.0 | 9372 | 0.2959 | 0.9144 |
| 0.0077 | 4.0 | 12496 | 0.3115 | 0.9195 |
| 0.0085 | 5.0 | 15620 | 0.3588 | 0.9172 |
| 0.0073 | 6.0 | 18744 | 0.3413 | 0.9175 |
| 0.0028 | 7.0 | 21868 | 0.3517 | 0.9217 |
| 0.001 | 8.0 | 24992 | 0.4161 | 0.9238 |
| 0.0011 | 9.0 | 28116 | 0.4539 | 0.9230 |
| 0.0 | 10.0 | 31240 | 0.4558 | 0.9211 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1