metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-finetuned-products
results: []
bert-base-cased-finetuned-products
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1250
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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 7.1574 | 1.0 | 7595 | 6.0100 |
| 4.7853 | 2.0 | 15190 | 3.7723 |
| 3.0734 | 3.0 | 22785 | 2.7345 |
| 2.2249 | 4.0 | 30380 | 2.2894 |
| 1.746 | 5.0 | 37975 | 2.0801 |
| 1.4232 | 6.0 | 45570 | 1.9818 |
| 1.177 | 7.0 | 53165 | 1.9314 |
| 0.9785 | 8.0 | 60760 | 1.9254 |
| 0.8097 | 9.0 | 68355 | 1.9443 |
| 0.6691 | 10.0 | 75950 | 1.9722 |
| 0.5536 | 11.0 | 83545 | 2.0024 |
| 0.4616 | 12.0 | 91140 | 2.0540 |
| 0.3869 | 13.0 | 98735 | 2.0819 |
| 0.3302 | 14.0 | 106330 | 2.1114 |
| 0.2915 | 15.0 | 113925 | 2.1250 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0.post100
- Datasets 2.19.1
- Tokenizers 0.19.1