End of training
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README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: calculator_model_test
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# calculator_model_test
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0094
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 512
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- eval_batch_size: 512
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 40
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.9219 | 1.0 | 6 | 2.2235 |
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| 1.9996 | 2.0 | 12 | 1.6925 |
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| 1.4545 | 3.0 | 18 | 1.1007 |
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| 0.9701 | 4.0 | 24 | 0.8044 |
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| 0.7563 | 5.0 | 30 | 0.6572 |
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| 0.5984 | 6.0 | 36 | 0.6227 |
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| 0.5377 | 7.0 | 42 | 0.4585 |
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| 0.442 | 8.0 | 48 | 0.3971 |
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| 0.375 | 9.0 | 54 | 0.3378 |
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| 0.3181 | 10.0 | 60 | 0.2967 |
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| 0.2961 | 11.0 | 66 | 0.2787 |
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| 0.2671 | 12.0 | 72 | 0.2398 |
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| 0.2469 | 13.0 | 78 | 0.2102 |
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| 0.2154 | 14.0 | 84 | 0.2098 |
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| 0.2032 | 15.0 | 90 | 0.1873 |
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| 0.1822 | 16.0 | 96 | 0.1632 |
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| 0.1658 | 17.0 | 102 | 0.1475 |
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| 0.1575 | 18.0 | 108 | 0.1309 |
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| 0.1424 | 19.0 | 114 | 0.1175 |
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| 0.1256 | 20.0 | 120 | 0.0999 |
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| 0.1027 | 21.0 | 126 | 0.0867 |
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| 0.0968 | 22.0 | 132 | 0.0781 |
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| 0.0772 | 23.0 | 138 | 0.0648 |
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| 0.0703 | 24.0 | 144 | 0.0522 |
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| 0.0591 | 25.0 | 150 | 0.0427 |
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| 0.0531 | 26.0 | 156 | 0.0322 |
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| 0.0465 | 27.0 | 162 | 0.0296 |
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| 0.0486 | 28.0 | 168 | 0.0284 |
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| 0.0392 | 29.0 | 174 | 0.0280 |
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| 0.0333 | 30.0 | 180 | 0.0264 |
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| 0.0327 | 31.0 | 186 | 0.0172 |
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| 0.0274 | 32.0 | 192 | 0.0175 |
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| 0.0251 | 33.0 | 198 | 0.0149 |
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| 0.0236 | 34.0 | 204 | 0.0143 |
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| 0.0211 | 35.0 | 210 | 0.0115 |
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| 0.0197 | 36.0 | 216 | 0.0106 |
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| 0.0182 | 37.0 | 222 | 0.0111 |
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| 0.0164 | 38.0 | 228 | 0.0105 |
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| 0.0172 | 39.0 | 234 | 0.0097 |
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| 0.0162 | 40.0 | 240 | 0.0094 |
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### Framework versions
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- Transformers 4.45.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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- Tokenizers 0.20.3
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 2,
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"eos_token_id": 0,
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"pad_token_id": 3,
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"transformers_version": "4.45.0"
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}
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runs/Mar03_18-31-06_17f3732c0d2a/events.out.tfevents.1741026671.17f3732c0d2a.5309.0
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e0afbe07403ab1a6debee878ffbf4fe5b38cda3951e12c93d64db7dcd71e788
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size 28381
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