metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: tuned_test_trainer-bert-base-uncased
results: []
tuned_test_trainer-bert-base-uncased
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6222
- Rmse: 0.6675
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| 0.7021 | 1.0 | 500 | 0.6222 | 0.6675 |
| 0.5461 | 2.0 | 1000 | 0.6305 | 0.6961 |
| 0.353 | 3.0 | 1500 | 0.7307 | 0.6629 |
| 0.2014 | 4.0 | 2000 | 1.0055 | 0.6753 |
| 0.1106 | 5.0 | 2500 | 1.2976 | 0.6837 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1