metadata
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-pp-500000-1e-06-128
results: []
bert-large-uncased-pp-500000-1e-06-128
This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6626
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: 1e-06
- train_batch_size: 512
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6848 | 1.0 | 977 | 0.6733 |
| 0.6785 | 2.0 | 1954 | 0.6690 |
| 0.6748 | 3.0 | 2931 | 0.6667 |
| 0.6734 | 4.0 | 3908 | 0.6650 |
| 0.6724 | 5.0 | 4885 | 0.6644 |
| 0.6705 | 6.0 | 5862 | 0.6638 |
| 0.6709 | 7.0 | 6839 | 0.6635 |
| 0.6697 | 8.0 | 7816 | 0.6631 |
| 0.6686 | 9.0 | 8793 | 0.6631 |
| 0.6669 | 10.0 | 9770 | 0.6627 |
| 0.6667 | 11.0 | 10747 | 0.6627 |
| 0.6667 | 12.0 | 11724 | 0.6627 |
| 0.6662 | 13.0 | 12701 | 0.6627 |
| 0.6668 | 14.0 | 13678 | 0.6626 |
| 0.6653 | 15.0 | 14655 | 0.6626 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1