metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-term-importance-v0
results: []
bert-term-importance-v0
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: 0.0022
- Mse: 0.0021
- Rmse: 0.0463
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Rmse |
|---|---|---|---|---|---|
| 0.0034 | 1.0 | 675 | 0.0045 | 0.0044 | 0.0662 |
| 0.0036 | 2.0 | 1350 | 0.0044 | 0.0043 | 0.0653 |
| 0.0034 | 3.0 | 2025 | 0.0044 | 0.0043 | 0.0652 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.5.1
- Tokenizers 0.21.0