File size: 3,200 Bytes
483c78d |
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 |
---
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: 0.6102
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4688 | 1.0 | 5 | 2.8659 |
| 2.5395 | 2.0 | 10 | 2.1007 |
| 1.9592 | 3.0 | 15 | 1.7491 |
| 1.6895 | 4.0 | 20 | 1.5873 |
| 1.5985 | 5.0 | 25 | 1.5268 |
| 1.5444 | 6.0 | 30 | 1.5378 |
| 1.5074 | 7.0 | 35 | 1.4607 |
| 1.4651 | 8.0 | 40 | 1.4537 |
| 1.4525 | 9.0 | 45 | 1.4718 |
| 1.4429 | 10.0 | 50 | 1.3729 |
| 1.3852 | 11.0 | 55 | 1.3508 |
| 1.3357 | 12.0 | 60 | 1.2872 |
| 1.2972 | 13.0 | 65 | 1.2634 |
| 1.2483 | 14.0 | 70 | 1.1977 |
| 1.1983 | 15.0 | 75 | 1.1583 |
| 1.1462 | 16.0 | 80 | 1.0801 |
| 1.0846 | 17.0 | 85 | 1.0128 |
| 1.055 | 18.0 | 90 | 1.0017 |
| 1.0239 | 19.0 | 95 | 0.9550 |
| 0.9661 | 20.0 | 100 | 0.9190 |
| 0.9551 | 21.0 | 105 | 0.8978 |
| 0.9148 | 22.0 | 110 | 0.8516 |
| 0.887 | 23.0 | 115 | 0.8381 |
| 0.8872 | 24.0 | 120 | 0.8330 |
| 0.8642 | 25.0 | 125 | 0.8257 |
| 0.8441 | 26.0 | 130 | 0.7729 |
| 0.8151 | 27.0 | 135 | 0.7500 |
| 0.7906 | 28.0 | 140 | 0.7392 |
| 0.7797 | 29.0 | 145 | 0.7292 |
| 0.7707 | 30.0 | 150 | 0.7043 |
| 0.7475 | 31.0 | 155 | 0.6987 |
| 0.74 | 32.0 | 160 | 0.6696 |
| 0.7274 | 33.0 | 165 | 0.6536 |
| 0.7121 | 34.0 | 170 | 0.6459 |
| 0.7113 | 35.0 | 175 | 0.6505 |
| 0.7016 | 36.0 | 180 | 0.6299 |
| 0.6946 | 37.0 | 185 | 0.6234 |
| 0.6886 | 38.0 | 190 | 0.6157 |
| 0.6821 | 39.0 | 195 | 0.6146 |
| 0.6768 | 40.0 | 200 | 0.6102 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|