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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: 0.0034
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.774 | 1.0 | 6 | 0.6889 |
| 0.6421 | 2.0 | 12 | 0.5684 |
| 0.5589 | 3.0 | 18 | 0.5287 |
| 0.5027 | 4.0 | 24 | 0.4892 |
| 0.4758 | 5.0 | 30 | 0.4412 |
| 0.4368 | 6.0 | 36 | 0.3770 |
| 0.3433 | 7.0 | 42 | 0.3218 |
| 0.2925 | 8.0 | 48 | 0.2518 |
| 0.2501 | 9.0 | 54 | 0.2048 |
| 0.2011 | 10.0 | 60 | 0.1582 |
| 0.1645 | 11.0 | 66 | 0.1267 |
| 0.1205 | 12.0 | 72 | 0.1078 |
| 0.1064 | 13.0 | 78 | 0.1005 |
| 0.0961 | 14.0 | 84 | 0.0677 |
| 0.0953 | 15.0 | 90 | 0.0549 |
| 0.069 | 16.0 | 96 | 0.0480 |
| 0.0593 | 17.0 | 102 | 0.0371 |
| 0.0516 | 18.0 | 108 | 0.0292 |
| 0.0436 | 19.0 | 114 | 0.0242 |
| 0.0381 | 20.0 | 120 | 0.0252 |
| 0.035 | 21.0 | 126 | 0.0157 |
| 0.0341 | 22.0 | 132 | 0.0135 |
| 0.0361 | 23.0 | 138 | 0.0140 |
| 0.0292 | 24.0 | 144 | 0.0117 |
| 0.0245 | 25.0 | 150 | 0.0131 |
| 0.0223 | 26.0 | 156 | 0.0082 |
| 0.0216 | 27.0 | 162 | 0.0093 |
| 0.0156 | 28.0 | 168 | 0.0073 |
| 0.0135 | 29.0 | 174 | 0.0054 |
| 0.0113 | 30.0 | 180 | 0.0052 |
| 0.0108 | 31.0 | 186 | 0.0045 |
| 0.0084 | 32.0 | 192 | 0.0042 |
| 0.0084 | 33.0 | 198 | 0.0039 |
| 0.0074 | 34.0 | 204 | 0.0037 |
| 0.007 | 35.0 | 210 | 0.0036 |
| 0.0067 | 36.0 | 216 | 0.0036 |
| 0.0065 | 37.0 | 222 | 0.0035 |
| 0.0066 | 38.0 | 228 | 0.0034 |
| 0.0066 | 39.0 | 234 | 0.0034 |
| 0.0064 | 40.0 | 240 | 0.0034 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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