metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-wikitext2
results: []
bert-base-cased-wikitext2
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.9386
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.1942 | 1.0 | 2249 | 7.1313 |
| 7.0194 | 2.0 | 4498 | 6.9758 |
| 6.9574 | 3.0 | 6747 | 6.9631 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.8.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0