metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: results_v3
results: []
results_v3
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: 0.1078
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 11
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.0953 | 1.0 | 5427 | 0.0894 |
0.0803 | 2.0 | 10854 | 0.0849 |
0.072 | 3.0 | 16281 | 0.0844 |
0.0629 | 4.0 | 21708 | 0.0863 |
0.0604 | 5.0 | 27135 | 0.0893 |
0.0543 | 6.0 | 32562 | 0.0919 |
0.054 | 7.0 | 37989 | 0.0955 |
0.0443 | 8.0 | 43416 | 0.0979 |
0.0463 | 9.0 | 48843 | 0.1017 |
0.0394 | 10.0 | 54270 | 0.1060 |
0.035 | 11.0 | 59697 | 0.1078 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1