Downloads · 30 days
5
28% of all-time downloads
calculator_model_test
cvzx/calculator_model_test
calculator_model_test is a machine learning model from cvzx. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
18
Public
Parameters
7.8M
62.5 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors31.2 MB · 100%
At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024
- SHA
- f6ef3041
Model card
From the Hugging Face model README
<!-- 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 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1142
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 |
|---|---|---|---|
| 2.9994 | 1.0 | 6 | 2.3829 |
| 2.1071 | 2.0 | 12 | 1.8146 |
| 1.6604 | 3.0 | 18 | 1.4548 |
| 1.3344 | 4.0 | 24 | 1.2129 |
| 1.1057 | 5.0 | 30 | 1.1267 |
| 0.9979 | 6.0 | 36 | 0.9518 |
| 0.8972 | 7.0 | 42 | 0.8461 |
| 0.7958 | 8.0 | 48 | 0.7534 |
| 0.7312 | 9.0 | 54 | 0.7009 |
| 0.6649 | 10.0 | 60 | 0.6680 |
| 0.6393 | 11.0 | 66 | 0.7051 |
| 0.6601 | 12.0 | 72 | 0.6567 |
| 0.6068 | 13.0 | 78 | 0.5767 |
| 0.5647 | 14.0 | 84 | 0.5255 |
| 0.4983 | 15.0 | 90 | 0.4750 |
| 0.5041 | 16.0 | 96 | 0.4331 |
| 0.4763 | 17.0 | 102 | 0.4182 |
| 0.4353 | 18.0 | 108 | 0.3774 |
| 0.3764 | 19.0 | 114 | 0.3496 |
| 0.3449 | 20.0 | 120 | 0.3113 |
| 0.3256 | 21.0 | 126 | 0.2987 |
| 0.2946 | 22.0 | 132 | 0.2670 |
| 0.3009 | 23.0 | 138 | 0.2560 |
| 0.2382 | 24.0 | 144 | 0.2373 |
| 0.2447 | 25.0 | 150 | 0.2340 |
| 0.2641 | 26.0 | 156 | 0.3113 |
| 0.2926 | 27.0 | 162 | 0.1925 |
| 0.2231 | 28.0 | 168 | 0.1932 |
| 0.2826 | 29.0 | 174 | 0.1867 |
| 0.1928 | 30.0 | 180 | 0.1672 |
| 0.1924 | 31.0 | 186 | 0.1577 |
| 0.1727 | 32.0 | 192 | 0.1451 |
| 0.1715 | 33.0 | 198 | 0.1365 |
| 0.1582 | 34.0 | 204 | 0.1334 |
| 0.1606 | 35.0 | 210 | 0.1278 |
| 0.1556 | 36.0 | 216 | 0.1282 |
| 0.1355 | 37.0 | 222 | 0.1226 |
| 0.1305 | 38.0 | 228 | 0.1184 |
| 0.1494 | 39.0 | 234 | 0.1148 |
| 0.1392 | 40.0 | 240 | 0.1142 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- encoder-decoder
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024