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: 1.2249
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 |
|---|---|---|---|
| 2.0964 | 1.0 | 291 | 1.6920 |
| 1.6326 | 2.0 | 582 | 1.5200 |
| 1.4972 | 3.0 | 873 | 1.3468 |
| 1.3962 | 4.0 | 1164 | 1.3353 |
| 1.3326 | 5.0 | 1455 | 1.2486 |
| 1.2832 | 6.0 | 1746 | 1.3706 |
| 1.2324 | 7.0 | 2037 | 1.2960 |
| 1.2027 | 8.0 | 2328 | 1.3538 |
| 1.1663 | 9.0 | 2619 | 1.2239 |
| 1.1401 | 10.0 | 2910 | 1.1766 |
| 1.1265 | 11.0 | 3201 | 1.1296 |
| 1.1111 | 12.0 | 3492 | 1.1792 |
| 1.0887 | 13.0 | 3783 | 1.2181 |
| 1.0759 | 14.0 | 4074 | 1.2107 |
| 1.0713 | 15.0 | 4365 | 1.2353 |
| 1.0639 | 16.0 | 4656 | 1.2249 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.15.2