File size: 3,311 Bytes
8236043 | 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: 1.3362
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3627 | 1.0 | 6 | 2.7265 |
| 2.3833 | 2.0 | 12 | 1.9531 |
| 1.8417 | 3.0 | 18 | 1.6770 |
| 1.6578 | 4.0 | 24 | 1.5824 |
| 1.5674 | 5.0 | 30 | 1.5478 |
| 1.5750 | 6.0 | 36 | 1.5474 |
| 1.5333 | 7.0 | 42 | 1.7200 |
| 1.6069 | 8.0 | 48 | 1.5513 |
| 1.5526 | 9.0 | 54 | 1.5275 |
| 1.5118 | 10.0 | 60 | 1.5277 |
| 1.5246 | 11.0 | 66 | 1.5190 |
| 1.5645 | 12.0 | 72 | 1.5177 |
| 1.5285 | 13.0 | 78 | 1.5219 |
| 1.5391 | 14.0 | 84 | 1.5125 |
| 1.5124 | 15.0 | 90 | 1.5222 |
| 1.5302 | 16.0 | 96 | 1.5181 |
| 1.5253 | 17.0 | 102 | 1.5064 |
| 1.4981 | 18.0 | 108 | 1.5100 |
| 1.5007 | 19.0 | 114 | 1.4890 |
| 1.4692 | 20.0 | 120 | 1.4828 |
| 1.4616 | 21.0 | 126 | 1.4810 |
| 1.4744 | 22.0 | 132 | 1.4636 |
| 1.4671 | 23.0 | 138 | 1.4516 |
| 1.4594 | 24.0 | 144 | 1.4417 |
| 1.4802 | 25.0 | 150 | 1.4573 |
| 1.4573 | 26.0 | 156 | 1.4384 |
| 1.4171 | 27.0 | 162 | 1.4459 |
| 1.4506 | 28.0 | 168 | 1.4285 |
| 1.4360 | 29.0 | 174 | 1.4135 |
| 1.4537 | 30.0 | 180 | 1.4091 |
| 1.4133 | 31.0 | 186 | 1.4245 |
| 1.4442 | 32.0 | 192 | 1.3852 |
| 1.3666 | 33.0 | 198 | 1.3804 |
| 1.3887 | 34.0 | 204 | 1.3633 |
| 1.3842 | 35.0 | 210 | 1.3585 |
| 1.3670 | 36.0 | 216 | 1.3495 |
| 1.3610 | 37.0 | 222 | 1.3469 |
| 1.3501 | 38.0 | 228 | 1.3452 |
| 1.3474 | 39.0 | 234 | 1.3374 |
| 1.3398 | 40.0 | 240 | 1.3362 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
|