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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: 0.5921
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.462 | 1.0 | 5 | 2.8547 |
| 2.538 | 2.0 | 10 | 2.0897 |
| 1.9404 | 3.0 | 15 | 1.7253 |
| 1.7165 | 4.0 | 20 | 1.6144 |
| 1.6205 | 5.0 | 25 | 1.5616 |
| 1.5595 | 6.0 | 30 | 1.5343 |
| 1.533 | 7.0 | 35 | 1.5129 |
| 1.5116 | 8.0 | 40 | 1.4738 |
| 1.47 | 9.0 | 45 | 1.4300 |
| 1.4339 | 10.0 | 50 | 1.4170 |
| 1.4026 | 11.0 | 55 | 1.3703 |
| 1.3849 | 12.0 | 60 | 1.3283 |
| 1.3616 | 13.0 | 65 | 1.2966 |
| 1.3063 | 14.0 | 70 | 1.2537 |
| 1.2479 | 15.0 | 75 | 1.1862 |
| 1.1756 | 16.0 | 80 | 1.1101 |
| 1.1533 | 17.0 | 85 | 1.1242 |
| 1.1344 | 18.0 | 90 | 1.1090 |
| 1.0864 | 19.0 | 95 | 1.0031 |
| 1.0175 | 20.0 | 100 | 0.9584 |
| 0.9662 | 21.0 | 105 | 0.9226 |
| 0.9294 | 22.0 | 110 | 0.8753 |
| 0.8923 | 23.0 | 115 | 0.8596 |
| 0.8676 | 24.0 | 120 | 0.8074 |
| 0.8371 | 25.0 | 125 | 0.7753 |
| 0.8185 | 26.0 | 130 | 0.7829 |
| 0.8092 | 27.0 | 135 | 0.7452 |
| 0.7693 | 28.0 | 140 | 0.7231 |
| 0.7534 | 29.0 | 145 | 0.7025 |
| 0.7432 | 30.0 | 150 | 0.6977 |
| 0.7249 | 31.0 | 155 | 0.6820 |
| 0.7161 | 32.0 | 160 | 0.6609 |
| 0.703 | 33.0 | 165 | 0.6529 |
| 0.6926 | 34.0 | 170 | 0.6395 |
| 0.6771 | 35.0 | 175 | 0.6246 |
| 0.667 | 36.0 | 180 | 0.6204 |
| 0.6633 | 37.0 | 185 | 0.6057 |
| 0.6498 | 38.0 | 190 | 0.6014 |
| 0.642 | 39.0 | 195 | 0.5947 |
| 0.6433 | 40.0 | 200 | 0.5921 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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