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calculator_model_test
ciebson/calculator_model_test
calculator_model_test is a machine learning model from ciebson. 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. --
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At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024
- SHA
- 693a3612
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: 0.4927
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 |
|---|---|---|---|
| 2.6077 | 1.0 | 41 | 2.0310 |
| 1.6982 | 2.0 | 82 | 1.5525 |
| 1.5473 | 3.0 | 123 | 1.5432 |
| 1.5418 | 4.0 | 164 | 1.5405 |
| 1.5401 | 5.0 | 205 | 1.5405 |
| 1.5387 | 6.0 | 246 | 1.5401 |
| 1.5366 | 7.0 | 287 | 1.5359 |
| 1.5292 | 8.0 | 328 | 1.5337 |
| 1.5289 | 9.0 | 369 | 1.5313 |
| 1.5248 | 10.0 | 410 | 1.5324 |
| 1.5174 | 11.0 | 451 | 1.5129 |
| 1.4809 | 12.0 | 492 | 1.4740 |
| 1.4456 | 13.0 | 533 | 1.4299 |
| 1.3497 | 14.0 | 574 | 1.2158 |
| 1.1149 | 15.0 | 615 | 0.9632 |
| 0.8827 | 16.0 | 656 | 0.7687 |
| 0.7432 | 17.0 | 697 | 0.6696 |
| 0.6651 | 18.0 | 738 | 0.6081 |
| 0.614 | 19.0 | 779 | 0.5694 |
| 0.5734 | 20.0 | 820 | 0.5423 |
| 0.5422 | 21.0 | 861 | 0.5248 |
| 0.5221 | 22.0 | 902 | 0.5087 |
| 0.5089 | 23.0 | 943 | 0.5026 |
| 0.4984 | 24.0 | 984 | 0.4946 |
| 0.4857 | 25.0 | 1025 | 0.4880 |
| 0.4778 | 26.0 | 1066 | 0.4881 |
| 0.4739 | 27.0 | 1107 | 0.4882 |
| 0.4698 | 28.0 | 1148 | 0.4853 |
| 0.4628 | 29.0 | 1189 | 0.4862 |
| 0.4581 | 30.0 | 1230 | 0.4849 |
| 0.4537 | 31.0 | 1271 | 0.4839 |
| 0.4504 | 32.0 | 1312 | 0.4871 |
| 0.4467 | 33.0 | 1353 | 0.4867 |
| 0.4438 | 34.0 | 1394 | 0.4886 |
| 0.4395 | 35.0 | 1435 | 0.4899 |
| 0.4362 | 36.0 | 1476 | 0.4903 |
| 0.4338 | 37.0 | 1517 | 0.4910 |
| 0.4304 | 38.0 | 1558 | 0.4913 |
| 0.4274 | 39.0 | 1599 | 0.4928 |
| 0.4252 | 40.0 | 1640 | 0.4927 |
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