|
|
--- |
|
|
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: 0.6968 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 3.4016 | 1.0 | 6 | 2.7548 | |
|
|
| 2.4113 | 2.0 | 12 | 1.9763 | |
|
|
| 1.8198 | 3.0 | 18 | 1.7136 | |
|
|
| 1.6501 | 4.0 | 24 | 1.5981 | |
|
|
| 1.5935 | 5.0 | 30 | 1.8221 | |
|
|
| 1.6315 | 6.0 | 36 | 1.5616 | |
|
|
| 1.517 | 7.0 | 42 | 1.5486 | |
|
|
| 1.5428 | 8.0 | 48 | 1.5514 | |
|
|
| 1.5141 | 9.0 | 54 | 1.5408 | |
|
|
| 1.4794 | 10.0 | 60 | 1.4949 | |
|
|
| 1.4543 | 11.0 | 66 | 1.4572 | |
|
|
| 1.3969 | 12.0 | 72 | 1.4083 | |
|
|
| 1.3618 | 13.0 | 78 | 1.4682 | |
|
|
| 1.3821 | 14.0 | 84 | 1.3403 | |
|
|
| 1.3074 | 15.0 | 90 | 1.2534 | |
|
|
| 1.2315 | 16.0 | 96 | 1.2563 | |
|
|
| 1.1914 | 17.0 | 102 | 1.2468 | |
|
|
| 1.1783 | 18.0 | 108 | 1.1124 | |
|
|
| 1.1323 | 19.0 | 114 | 1.0756 | |
|
|
| 1.0616 | 20.0 | 120 | 1.0507 | |
|
|
| 1.0337 | 21.0 | 126 | 0.9989 | |
|
|
| 0.9947 | 22.0 | 132 | 0.9760 | |
|
|
| 0.9878 | 23.0 | 138 | 0.9351 | |
|
|
| 0.942 | 24.0 | 144 | 0.9184 | |
|
|
| 0.928 | 25.0 | 150 | 0.9415 | |
|
|
| 0.9594 | 26.0 | 156 | 0.8797 | |
|
|
| 0.9115 | 27.0 | 162 | 0.8550 | |
|
|
| 0.8768 | 28.0 | 168 | 0.8376 | |
|
|
| 0.8587 | 29.0 | 174 | 0.8375 | |
|
|
| 0.8481 | 30.0 | 180 | 0.8013 | |
|
|
| 0.8344 | 31.0 | 186 | 0.8112 | |
|
|
| 0.8215 | 32.0 | 192 | 0.7831 | |
|
|
| 0.8095 | 33.0 | 198 | 0.7643 | |
|
|
| 0.7946 | 34.0 | 204 | 0.7568 | |
|
|
| 0.7808 | 35.0 | 210 | 0.7311 | |
|
|
| 0.7696 | 36.0 | 216 | 0.7247 | |
|
|
| 0.75 | 37.0 | 222 | 0.7109 | |
|
|
| 0.7464 | 38.0 | 228 | 0.7044 | |
|
|
| 0.7408 | 39.0 | 234 | 0.6994 | |
|
|
| 0.7476 | 40.0 | 240 | 0.6968 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.50.2 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.5.0 |
|
|
- Tokenizers 0.21.1 |
|
|
|
