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calculator_model_test
kinzoku99/calculator_model_test
calculator_model_test is a machine learning model from kinzoku99. 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 11, 2024
- SHA
- f8fcad21
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: 0.6087
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 |
|---|---|---|---|
| 3.3748 | 1.0 | 6 | 2.7546 |
| 2.3666 | 2.0 | 12 | 2.0282 |
| 1.8315 | 3.0 | 18 | 1.6880 |
| 1.616 | 4.0 | 24 | 1.5382 |
| 1.503 | 5.0 | 30 | 1.4603 |
| 1.4344 | 6.0 | 36 | 1.4103 |
| 1.3878 | 7.0 | 42 | 1.3806 |
| 1.3418 | 8.0 | 48 | 1.2722 |
| 1.2509 | 9.0 | 54 | 1.2194 |
| 1.2581 | 10.0 | 60 | 1.2255 |
| 1.2361 | 11.0 | 66 | 1.4183 |
| 1.259 | 12.0 | 72 | 1.1575 |
| 1.1246 | 13.0 | 78 | 1.1058 |
| 1.0757 | 14.0 | 84 | 1.0496 |
| 1.0499 | 15.0 | 90 | 1.0402 |
| 0.9797 | 16.0 | 96 | 0.9715 |
| 0.9347 | 17.0 | 102 | 0.9876 |
| 0.9267 | 18.0 | 108 | 0.9119 |
| 0.8861 | 19.0 | 114 | 0.9250 |
| 0.9253 | 20.0 | 120 | 0.8471 |
| 0.9204 | 21.0 | 126 | 0.8488 |
| 0.8545 | 22.0 | 132 | 0.8404 |
| 0.8283 | 23.0 | 138 | 0.7885 |
| 0.7892 | 24.0 | 144 | 0.8518 |
| 0.804 | 25.0 | 150 | 0.9104 |
| 0.8278 | 26.0 | 156 | 0.7776 |
| 0.7759 | 27.0 | 162 | 0.7776 |
| 0.7388 | 28.0 | 168 | 0.7396 |
| 0.7323 | 29.0 | 174 | 0.7238 |
| 0.727 | 30.0 | 180 | 0.6978 |
| 0.7104 | 31.0 | 186 | 0.6916 |
| 0.6964 | 32.0 | 192 | 0.6704 |
| 0.6797 | 33.0 | 198 | 0.6547 |
| 0.661 | 34.0 | 204 | 0.6457 |
| 0.6567 | 35.0 | 210 | 0.6497 |
| 0.6494 | 36.0 | 216 | 0.6411 |
| 0.6526 | 37.0 | 222 | 0.6314 |
| 0.6379 | 38.0 | 228 | 0.6150 |
| 0.6224 | 39.0 | 234 | 0.6093 |
| 0.6231 | 40.0 | 240 | 0.6087 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- transformers
- Type
- encoder-decoder
- Created
- Mar 4, 2024
- Updated
- Mar 11, 2024