|
|
--- |
|
|
library_name: transformers |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: calculator_model_test |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# calculator_model_test |
|
|
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 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: 0.001 |
|
|
- train_batch_size: 512 |
|
|
- eval_batch_size: 512 |
|
|
- 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: 40 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 3.3906 | 1.0 | 6 | 2.7256 | |
|
|
| 2.3769 | 2.0 | 12 | 1.9990 | |
|
|
| 1.861 | 3.0 | 18 | 1.6958 | |
|
|
| 1.6322 | 4.0 | 24 | 1.5805 | |
|
|
| 1.5721 | 5.0 | 30 | 1.5422 | |
|
|
| 1.5184 | 6.0 | 36 | 1.5180 | |
|
|
| 1.4832 | 7.0 | 42 | 1.5010 | |
|
|
| 1.4849 | 8.0 | 48 | 1.5123 | |
|
|
| 1.462 | 9.0 | 54 | 1.4417 | |
|
|
| 1.4298 | 10.0 | 60 | 1.4435 | |
|
|
| 1.4279 | 11.0 | 66 | 1.4251 | |
|
|
| 1.4448 | 12.0 | 72 | 1.3547 | |
|
|
| 1.3379 | 13.0 | 78 | 1.3969 | |
|
|
| 1.3537 | 14.0 | 84 | 1.2676 | |
|
|
| 1.2642 | 15.0 | 90 | 1.1872 | |
|
|
| 1.2176 | 16.0 | 96 | 1.1717 | |
|
|
| 1.1637 | 17.0 | 102 | 1.1720 | |
|
|
| 1.1542 | 18.0 | 108 | 1.0787 | |
|
|
| 1.0647 | 19.0 | 114 | 1.0448 | |
|
|
| 1.0532 | 20.0 | 120 | 0.9690 | |
|
|
| 0.9851 | 21.0 | 126 | 1.0202 | |
|
|
| 1.0039 | 22.0 | 132 | 0.9606 | |
|
|
| 0.9611 | 23.0 | 138 | 0.9038 | |
|
|
| 0.945 | 24.0 | 144 | 0.9449 | |
|
|
| 0.9189 | 25.0 | 150 | 0.8462 | |
|
|
| 0.87 | 26.0 | 156 | 0.8271 | |
|
|
| 0.8647 | 27.0 | 162 | 0.8263 | |
|
|
| 0.8469 | 28.0 | 168 | 0.7877 | |
|
|
| 0.8159 | 29.0 | 174 | 0.7557 | |
|
|
| 0.7941 | 30.0 | 180 | 0.7365 | |
|
|
| 0.7619 | 31.0 | 186 | 0.7333 | |
|
|
| 0.7643 | 32.0 | 192 | 0.7197 | |
|
|
| 0.7689 | 33.0 | 198 | 0.7006 | |
|
|
| 0.7508 | 34.0 | 204 | 0.6877 | |
|
|
| 0.7349 | 35.0 | 210 | 0.6797 | |
|
|
| 0.7214 | 36.0 | 216 | 0.6733 | |
|
|
| 0.7172 | 37.0 | 222 | 0.6600 | |
|
|
| 0.7152 | 38.0 | 228 | 0.6582 | |
|
|
| 0.6935 | 39.0 | 234 | 0.6510 | |
|
|
| 0.696 | 40.0 | 240 | 0.6459 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.48.3 |
|
|
- Pytorch 2.5.1+cu124 |
|
|
- Datasets 3.3.2 |
|
|
- Tokenizers 0.21.0 |
|
|
|
