metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-issues-128
results: []
bert-base-uncased-issues-128
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1691
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1115 | 1.0 | 291 | 1.6930 |
| 1.6354 | 2.0 | 582 | 1.3670 |
| 1.4808 | 3.0 | 873 | 1.4257 |
| 1.393 | 4.0 | 1164 | 1.4305 |
| 1.3415 | 5.0 | 1455 | 1.2622 |
| 1.2873 | 6.0 | 1746 | 1.3074 |
| 1.2302 | 7.0 | 2037 | 1.2133 |
| 1.2132 | 8.0 | 2328 | 1.2650 |
| 1.1793 | 9.0 | 2619 | 1.2654 |
| 1.148 | 10.0 | 2910 | 1.2179 |
| 1.127 | 11.0 | 3201 | 1.2638 |
| 1.0989 | 12.0 | 3492 | 1.1541 |
| 1.0961 | 13.0 | 3783 | 1.1539 |
| 1.0793 | 14.0 | 4074 | 1.0733 |
| 1.066 | 15.0 | 4365 | 1.2453 |
| 1.0672 | 16.0 | 4656 | 1.1691 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1