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calculator_model_test
SzymonLukasik/calculator_model_test
calculator_model_test is a machine learning model from SzymonLukasik. 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
- 2863c2cd
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: 0.0909
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 |
|---|---|---|---|
| 2.928 | 1.0 | 6 | 2.2384 |
| 1.994 | 2.0 | 12 | 1.7009 |
| 1.5069 | 3.0 | 18 | 1.2937 |
| 1.1935 | 4.0 | 24 | 1.1334 |
| 1.0548 | 5.0 | 30 | 0.9714 |
| 0.9261 | 6.0 | 36 | 0.8736 |
| 0.8355 | 7.0 | 42 | 0.7772 |
| 0.7459 | 8.0 | 48 | 0.7135 |
| 0.6821 | 9.0 | 54 | 0.6394 |
| 0.6268 | 10.0 | 60 | 0.5985 |
| 0.5906 | 11.0 | 66 | 0.5664 |
| 0.5521 | 12.0 | 72 | 0.5647 |
| 0.5535 | 13.0 | 78 | 0.5673 |
| 0.5531 | 14.0 | 84 | 0.4928 |
| 0.4741 | 15.0 | 90 | 0.4800 |
| 0.4655 | 16.0 | 96 | 0.4641 |
| 0.4527 | 17.0 | 102 | 0.4285 |
| 0.4072 | 18.0 | 108 | 0.3956 |
| 0.39 | 19.0 | 114 | 0.3738 |
| 0.3573 | 20.0 | 120 | 0.3478 |
| 0.3423 | 21.0 | 126 | 0.3087 |
| 0.3111 | 22.0 | 132 | 0.2840 |
| 0.2909 | 23.0 | 138 | 0.2555 |
| 0.2574 | 24.0 | 144 | 0.2241 |
| 0.2423 | 25.0 | 150 | 0.2157 |
| 0.2212 | 26.0 | 156 | 0.1817 |
| 0.2042 | 27.0 | 162 | 0.1823 |
| 0.1849 | 28.0 | 168 | 0.1592 |
| 0.1764 | 29.0 | 174 | 0.1436 |
| 0.1626 | 30.0 | 180 | 0.1327 |
| 0.1617 | 31.0 | 186 | 0.1239 |
| 0.1441 | 32.0 | 192 | 0.1220 |
| 0.1451 | 33.0 | 198 | 0.1132 |
| 0.1327 | 34.0 | 204 | 0.1062 |
| 0.1276 | 35.0 | 210 | 0.1023 |
| 0.1237 | 36.0 | 216 | 0.1011 |
| 0.1183 | 37.0 | 222 | 0.0959 |
| 0.1163 | 38.0 | 228 | 0.0949 |
| 0.1107 | 39.0 | 234 | 0.0915 |
| 0.116 | 40.0 | 240 | 0.0909 |
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