metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: midjourney-rank
results: []
midjourney-rank
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: 0.0497
- Mse: 0.0497
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse |
|---|---|---|---|---|
| 0.0591 | 0.34 | 100 | 0.0556 | 0.0556 |
| 0.0569 | 0.67 | 200 | 0.0537 | 0.0537 |
| 0.0543 | 1.01 | 300 | 0.0500 | 0.0500 |
| 0.0437 | 1.34 | 400 | 0.0566 | 0.0566 |
| 0.0432 | 1.68 | 500 | 0.0497 | 0.0497 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3