File size: 3,311 Bytes
8966052 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 | ---
library_name: transformers
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: 0.2172
## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0547 | 1.0 | 6 | 2.3235 |
| 2.0645 | 2.0 | 12 | 1.8699 |
| 1.6975 | 3.0 | 18 | 1.5582 |
| 1.4058 | 4.0 | 24 | 1.2875 |
| 1.1930 | 5.0 | 30 | 1.0846 |
| 1.0571 | 6.0 | 36 | 1.0523 |
| 0.9713 | 7.0 | 42 | 0.9177 |
| 0.8768 | 8.0 | 48 | 0.9016 |
| 0.8688 | 9.0 | 54 | 0.8003 |
| 0.7712 | 10.0 | 60 | 0.7546 |
| 0.7255 | 11.0 | 66 | 0.6924 |
| 0.6674 | 12.0 | 72 | 0.6362 |
| 0.6104 | 13.0 | 78 | 0.6404 |
| 0.5723 | 14.0 | 84 | 0.5483 |
| 0.5251 | 15.0 | 90 | 0.5152 |
| 0.5100 | 16.0 | 96 | 0.4806 |
| 0.4442 | 17.0 | 102 | 0.4510 |
| 0.4643 | 18.0 | 108 | 0.4321 |
| 0.4391 | 19.0 | 114 | 0.4565 |
| 0.4395 | 20.0 | 120 | 0.4186 |
| 0.4202 | 21.0 | 126 | 0.3869 |
| 0.4038 | 22.0 | 132 | 0.3577 |
| 0.3632 | 23.0 | 138 | 0.3645 |
| 0.3682 | 24.0 | 144 | 0.3557 |
| 0.3688 | 25.0 | 150 | 0.3535 |
| 0.3548 | 26.0 | 156 | 0.3524 |
| 0.3401 | 27.0 | 162 | 0.3203 |
| 0.3440 | 28.0 | 168 | 0.3018 |
| 0.3059 | 29.0 | 174 | 0.2777 |
| 0.2963 | 30.0 | 180 | 0.2761 |
| 0.2960 | 31.0 | 186 | 0.2661 |
| 0.2681 | 32.0 | 192 | 0.2570 |
| 0.2578 | 33.0 | 198 | 0.2479 |
| 0.2549 | 34.0 | 204 | 0.2413 |
| 0.2702 | 35.0 | 210 | 0.2329 |
| 0.2488 | 36.0 | 216 | 0.2267 |
| 0.2550 | 37.0 | 222 | 0.2219 |
| 0.2324 | 38.0 | 228 | 0.2206 |
| 0.2294 | 39.0 | 234 | 0.2190 |
| 0.2242 | 40.0 | 240 | 0.2172 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
|