metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6862
- Mse: 0.6862
- Mae: 0.6459
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: 1e-06
- weight_decay: 3e-5
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use lamb_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
|---|---|---|---|---|---|
| 0.4487 | 1.1416 | 500 | 0.7357 | 0.7357 | 0.6692 |
| 0.7676 | 2.2831 | 1000 | 0.7138 | 0.7138 | 0.6618 |
| 0.7356 | 3.4247 | 1500 | 0.6736 | 0.6736 | 0.6426 |
| 0.5261 | 4.5662 | 2000 | 0.6592 | 0.6592 | 0.6393 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0