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---
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: 0.0886
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9371 | 1.0 | 6 | 2.2809 |
| 2.0329 | 2.0 | 12 | 1.7417 |
| 1.5558 | 3.0 | 18 | 1.3281 |
| 1.2296 | 4.0 | 24 | 1.1153 |
| 1.0568 | 5.0 | 30 | 0.9804 |
| 0.935 | 6.0 | 36 | 0.8776 |
| 0.8432 | 7.0 | 42 | 0.7807 |
| 0.7598 | 8.0 | 48 | 0.7081 |
| 0.6977 | 9.0 | 54 | 0.6922 |
| 0.6587 | 10.0 | 60 | 0.6535 |
| 0.6083 | 11.0 | 66 | 0.5866 |
| 0.5913 | 12.0 | 72 | 0.5483 |
| 0.5361 | 13.0 | 78 | 0.4847 |
| 0.4944 | 14.0 | 84 | 0.4919 |
| 0.4768 | 15.0 | 90 | 0.4696 |
| 0.4375 | 16.0 | 96 | 0.4223 |
| 0.4205 | 17.0 | 102 | 0.3673 |
| 0.379 | 18.0 | 108 | 0.3210 |
| 0.3334 | 19.0 | 114 | 0.2762 |
| 0.3065 | 20.0 | 120 | 0.2556 |
| 0.2759 | 21.0 | 126 | 0.2456 |
| 0.2589 | 22.0 | 132 | 0.2186 |
| 0.2374 | 23.0 | 138 | 0.2009 |
| 0.2248 | 24.0 | 144 | 0.1943 |
| 0.2182 | 25.0 | 150 | 0.1972 |
| 0.2181 | 26.0 | 156 | 0.1695 |
| 0.1999 | 27.0 | 162 | 0.1829 |
| 0.2048 | 28.0 | 168 | 0.1786 |
| 0.1865 | 29.0 | 174 | 0.1371 |
| 0.1667 | 30.0 | 180 | 0.1323 |
| 0.161 | 31.0 | 186 | 0.1301 |
| 0.1442 | 32.0 | 192 | 0.1162 |
| 0.1365 | 33.0 | 198 | 0.1111 |
| 0.1298 | 34.0 | 204 | 0.1054 |
| 0.1295 | 35.0 | 210 | 0.1001 |
| 0.1223 | 36.0 | 216 | 0.0974 |
| 0.1222 | 37.0 | 222 | 0.0939 |
| 0.1227 | 38.0 | 228 | 0.0921 |
| 0.1198 | 39.0 | 234 | 0.0895 |
| 0.1139 | 40.0 | 240 | 0.0886 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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