|
--- |
|
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: 0.8124 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.3916 | 1.0 | 6 | 2.7549 | |
|
| 2.4048 | 2.0 | 12 | 1.9876 | |
|
| 1.8591 | 3.0 | 18 | 1.8948 | |
|
| 1.6663 | 4.0 | 24 | 1.6188 | |
|
| 1.586 | 5.0 | 30 | 1.5494 | |
|
| 1.5053 | 6.0 | 36 | 1.6146 | |
|
| 1.5878 | 7.0 | 42 | 1.5655 | |
|
| 1.5183 | 8.0 | 48 | 1.5487 | |
|
| 1.5695 | 9.0 | 54 | 1.5368 | |
|
| 1.5206 | 10.0 | 60 | 1.5189 | |
|
| 1.4748 | 11.0 | 66 | 1.5096 | |
|
| 1.4616 | 12.0 | 72 | 1.4969 | |
|
| 1.4502 | 13.0 | 78 | 1.4454 | |
|
| 1.4039 | 14.0 | 84 | 1.4019 | |
|
| 1.3864 | 15.0 | 90 | 1.3711 | |
|
| 1.3878 | 16.0 | 96 | 1.3687 | |
|
| 1.3034 | 17.0 | 102 | 1.2939 | |
|
| 1.2768 | 18.0 | 108 | 1.3036 | |
|
| 1.2649 | 19.0 | 114 | 1.2028 | |
|
| 1.26 | 20.0 | 120 | 1.1679 | |
|
| 1.198 | 21.0 | 126 | 1.2472 | |
|
| 1.1989 | 22.0 | 132 | 1.2993 | |
|
| 1.2132 | 23.0 | 138 | 1.0975 | |
|
| 1.1436 | 24.0 | 144 | 1.0720 | |
|
| 1.0686 | 25.0 | 150 | 1.1057 | |
|
| 1.0627 | 26.0 | 156 | 1.0181 | |
|
| 1.0 | 27.0 | 162 | 0.9821 | |
|
| 1.0395 | 28.0 | 168 | 0.9878 | |
|
| 0.9847 | 29.0 | 174 | 0.9409 | |
|
| 0.9655 | 30.0 | 180 | 0.9396 | |
|
| 0.9791 | 31.0 | 186 | 0.9019 | |
|
| 0.9318 | 32.0 | 192 | 0.8818 | |
|
| 0.9103 | 33.0 | 198 | 0.8827 | |
|
| 0.9049 | 34.0 | 204 | 0.8853 | |
|
| 0.9553 | 35.0 | 210 | 0.8960 | |
|
| 0.8924 | 36.0 | 216 | 0.8598 | |
|
| 0.9028 | 37.0 | 222 | 0.8312 | |
|
| 0.8601 | 38.0 | 228 | 0.8177 | |
|
| 0.8744 | 39.0 | 234 | 0.8153 | |
|
| 0.8442 | 40.0 | 240 | 0.8124 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
