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calculator_model_test
mbial/calculator_model_test
calculator_model_test is a machine learning model from mbial. 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 24, 2024
- Updated
- Mar 24, 2024
- SHA
- 6decd5bc
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: 0.2167
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 |
|---|---|---|---|
| 2.9708 | 1.0 | 6 | 2.2532 |
| 2.0334 | 2.0 | 12 | 1.7317 |
| 1.5636 | 3.0 | 18 | 1.3306 |
| 1.2228 | 4.0 | 24 | 1.1101 |
| 1.0587 | 5.0 | 30 | 0.9678 |
| 0.9399 | 6.0 | 36 | 0.8654 |
| 0.8269 | 7.0 | 42 | 0.7420 |
| 0.7354 | 8.0 | 48 | 0.6981 |
| 0.6841 | 9.0 | 54 | 0.6609 |
| 0.6499 | 10.0 | 60 | 0.6128 |
| 0.592 | 11.0 | 66 | 0.5730 |
| 0.5651 | 12.0 | 72 | 0.5324 |
| 0.53 | 13.0 | 78 | 0.5232 |
| 0.5087 | 14.0 | 84 | 0.5066 |
| 0.5052 | 15.0 | 90 | 0.4966 |
| 0.4933 | 16.0 | 96 | 0.4476 |
| 0.4622 | 17.0 | 102 | 0.4559 |
| 0.4604 | 18.0 | 108 | 0.4520 |
| 0.4386 | 19.0 | 114 | 0.4525 |
| 0.4453 | 20.0 | 120 | 0.4345 |
| 0.4293 | 21.0 | 126 | 0.3955 |
| 0.3904 | 22.0 | 132 | 0.3695 |
| 0.3793 | 23.0 | 138 | 0.3614 |
| 0.3648 | 24.0 | 144 | 0.3463 |
| 0.3471 | 25.0 | 150 | 0.3247 |
| 0.3391 | 26.0 | 156 | 0.3100 |
| 0.3084 | 27.0 | 162 | 0.2981 |
| 0.3188 | 28.0 | 168 | 0.2901 |
| 0.3074 | 29.0 | 174 | 0.2791 |
| 0.2847 | 30.0 | 180 | 0.2832 |
| 0.2832 | 31.0 | 186 | 0.2637 |
| 0.2762 | 32.0 | 192 | 0.2596 |
| 0.2928 | 33.0 | 198 | 0.2487 |
| 0.2759 | 34.0 | 204 | 0.2408 |
| 0.2634 | 35.0 | 210 | 0.2334 |
| 0.2585 | 36.0 | 216 | 0.2270 |
| 0.2444 | 37.0 | 222 | 0.2227 |
| 0.2394 | 38.0 | 228 | 0.2183 |
| 0.2376 | 39.0 | 234 | 0.2174 |
| 0.2394 | 40.0 | 240 | 0.2167 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- encoder-decoder
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024