metadata
library_name: transformers
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-large-uncased-pp-200000-1e-06-64
results: []
bert-large-uncased-pp-200000-1e-06-64
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: 0.6665
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: 256
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6956 | 1.0 | 782 | 0.6783 |
| 0.6882 | 2.0 | 1564 | 0.6741 |
| 0.6838 | 3.0 | 2346 | 0.6720 |
| 0.6783 | 4.0 | 3128 | 0.6716 |
| 0.678 | 5.0 | 3910 | 0.6696 |
| 0.674 | 6.0 | 4692 | 0.6684 |
| 0.6726 | 7.0 | 5474 | 0.6673 |
| 0.6722 | 8.0 | 6256 | 0.6672 |
| 0.6687 | 9.0 | 7038 | 0.6672 |
| 0.6685 | 10.0 | 7820 | 0.6665 |
| 0.6649 | 11.0 | 8602 | 0.6678 |
| 0.661 | 12.0 | 9384 | 0.6668 |
| 0.6622 | 13.0 | 10166 | 0.6676 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1