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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: 2.9524
## 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: 0.01
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6485 | 1.0 | 6 | 3.2312 |
| 3.1316 | 2.0 | 12 | 2.9996 |
| 3.037 | 3.0 | 18 | 3.0512 |
| 3.0193 | 4.0 | 24 | 3.0006 |
| 2.9967 | 5.0 | 30 | 2.9620 |
| 2.9847 | 6.0 | 36 | 2.9710 |
| 2.9765 | 7.0 | 42 | 2.9646 |
| 2.9729 | 8.0 | 48 | 2.9598 |
| 2.9755 | 9.0 | 54 | 2.9601 |
| 2.9644 | 10.0 | 60 | 2.9621 |
| 2.967 | 11.0 | 66 | 2.9609 |
| 2.9713 | 12.0 | 72 | 2.9563 |
| 2.9704 | 13.0 | 78 | 2.9534 |
| 2.9708 | 14.0 | 84 | 2.9552 |
| 2.9582 | 15.0 | 90 | 2.9530 |
| 2.9729 | 16.0 | 96 | 2.9547 |
| 2.9628 | 17.0 | 102 | 2.9576 |
| 2.9621 | 18.0 | 108 | 2.9559 |
| 2.968 | 19.0 | 114 | 2.9524 |
| 2.9663 | 20.0 | 120 | 2.9556 |
| 2.9609 | 21.0 | 126 | 2.9534 |
| 2.9661 | 22.0 | 132 | 2.9523 |
| 2.9563 | 23.0 | 138 | 2.9593 |
| 2.9656 | 24.0 | 144 | 2.9551 |
| 2.9604 | 25.0 | 150 | 2.9534 |
| 2.9694 | 26.0 | 156 | 2.9525 |
| 2.9636 | 27.0 | 162 | 2.9522 |
| 2.9561 | 28.0 | 168 | 2.9535 |
| 2.9762 | 29.0 | 174 | 2.9548 |
| 2.962 | 30.0 | 180 | 2.9530 |
| 2.9537 | 31.0 | 186 | 2.9501 |
| 2.9592 | 32.0 | 192 | 2.9513 |
| 2.9695 | 33.0 | 198 | 2.9519 |
| 2.9664 | 34.0 | 204 | 2.9527 |
| 2.9594 | 35.0 | 210 | 2.9532 |
| 2.9582 | 36.0 | 216 | 2.9529 |
| 2.9718 | 37.0 | 222 | 2.9533 |
| 2.9563 | 38.0 | 228 | 2.9530 |
| 2.9599 | 39.0 | 234 | 2.9525 |
| 2.9615 | 40.0 | 240 | 2.9524 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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