|
--- |
|
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: 0.0653 |
|
|
|
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 40 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.0601 | 1.0 | 5 | 2.3320 | |
|
| 2.1438 | 2.0 | 10 | 1.8625 | |
|
| 1.719 | 3.0 | 15 | 1.4731 | |
|
| 1.3536 | 4.0 | 20 | 1.1824 | |
|
| 1.1078 | 5.0 | 25 | 1.0030 | |
|
| 0.9378 | 6.0 | 30 | 0.8243 | |
|
| 0.814 | 7.0 | 35 | 0.7440 | |
|
| 0.7285 | 8.0 | 40 | 0.6701 | |
|
| 0.6557 | 9.0 | 45 | 0.5971 | |
|
| 0.6103 | 10.0 | 50 | 0.5747 | |
|
| 0.5812 | 11.0 | 55 | 0.5327 | |
|
| 0.5484 | 12.0 | 60 | 0.5351 | |
|
| 0.5322 | 13.0 | 65 | 0.4831 | |
|
| 0.485 | 14.0 | 70 | 0.4645 | |
|
| 0.4599 | 15.0 | 75 | 0.4106 | |
|
| 0.4148 | 16.0 | 80 | 0.3721 | |
|
| 0.3847 | 17.0 | 85 | 0.3418 | |
|
| 0.3717 | 18.0 | 90 | 0.3214 | |
|
| 0.3406 | 19.0 | 95 | 0.3021 | |
|
| 0.3133 | 20.0 | 100 | 0.2631 | |
|
| 0.2902 | 21.0 | 105 | 0.2421 | |
|
| 0.2558 | 22.0 | 110 | 0.2098 | |
|
| 0.2351 | 23.0 | 115 | 0.1821 | |
|
| 0.2115 | 24.0 | 120 | 0.1597 | |
|
| 0.1909 | 25.0 | 125 | 0.1435 | |
|
| 0.1745 | 26.0 | 130 | 0.1364 | |
|
| 0.1612 | 27.0 | 135 | 0.1223 | |
|
| 0.1516 | 28.0 | 140 | 0.1127 | |
|
| 0.1379 | 29.0 | 145 | 0.1012 | |
|
| 0.1281 | 30.0 | 150 | 0.0945 | |
|
| 0.1232 | 31.0 | 155 | 0.0858 | |
|
| 0.1153 | 32.0 | 160 | 0.0822 | |
|
| 0.1077 | 33.0 | 165 | 0.0798 | |
|
| 0.1039 | 34.0 | 170 | 0.0764 | |
|
| 0.1025 | 35.0 | 175 | 0.0719 | |
|
| 0.0989 | 36.0 | 180 | 0.0685 | |
|
| 0.0955 | 37.0 | 185 | 0.0685 | |
|
| 0.0949 | 38.0 | 190 | 0.0660 | |
|
| 0.0915 | 39.0 | 195 | 0.0653 | |
|
| 0.0901 | 40.0 | 200 | 0.0653 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
