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polymatheiia
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calculator_model_test

Transformers
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
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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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+
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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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+
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+ # calculator_model_test
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+
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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: 0.5945
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 40
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.4886 | 1.0 | 5 | 2.9077 |
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+ | 2.6030 | 2.0 | 10 | 2.1443 |
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+ | 1.9775 | 3.0 | 15 | 1.7360 |
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+ | 1.6903 | 4.0 | 20 | 1.5977 |
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+ | 1.5862 | 5.0 | 25 | 1.5620 |
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+ | 1.5460 | 6.0 | 30 | 1.5337 |
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+ | 1.5075 | 7.0 | 35 | 1.4873 |
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+ | 1.4838 | 8.0 | 40 | 1.4564 |
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+ | 1.4496 | 9.0 | 45 | 1.4431 |
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+ | 1.4041 | 10.0 | 50 | 1.3911 |
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+ | 1.3950 | 11.0 | 55 | 1.3940 |
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+ | 1.3421 | 12.0 | 60 | 1.3259 |
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+ | 1.3013 | 13.0 | 65 | 1.2902 |
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+ | 1.2550 | 14.0 | 70 | 1.2079 |
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+ | 1.1784 | 15.0 | 75 | 1.1146 |
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+ | 1.1135 | 16.0 | 80 | 1.0629 |
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+ | 1.0583 | 17.0 | 85 | 1.0104 |
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+ | 1.0198 | 18.0 | 90 | 0.9646 |
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+ | 0.9765 | 19.0 | 95 | 0.9315 |
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+ | 0.9386 | 20.0 | 100 | 0.8994 |
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+ | 0.9116 | 21.0 | 105 | 0.8690 |
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+ | 0.8871 | 22.0 | 110 | 0.8332 |
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+ | 0.8702 | 23.0 | 115 | 0.8674 |
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+ | 0.8441 | 24.0 | 120 | 0.7941 |
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+ | 0.8180 | 25.0 | 125 | 0.7898 |
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+ | 0.8022 | 26.0 | 130 | 0.7690 |
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+ | 0.7880 | 27.0 | 135 | 0.7386 |
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+ | 0.7739 | 28.0 | 140 | 0.7302 |
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+ | 0.7618 | 29.0 | 145 | 0.7090 |
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+ | 0.7451 | 30.0 | 150 | 0.7043 |
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+ | 0.7340 | 31.0 | 155 | 0.6951 |
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+ | 0.7240 | 32.0 | 160 | 0.6731 |
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+ | 0.7076 | 33.0 | 165 | 0.6516 |
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+ | 0.6951 | 34.0 | 170 | 0.6469 |
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+ | 0.6846 | 35.0 | 175 | 0.6319 |
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+ | 0.6737 | 36.0 | 180 | 0.6170 |
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+ | 0.6601 | 37.0 | 185 | 0.6103 |
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+ | 0.6558 | 38.0 | 190 | 0.6016 |
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+ | 0.6509 | 39.0 | 195 | 0.5963 |
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+ | 0.6435 | 40.0 | 200 | 0.5945 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.0.0
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+ - Pytorch 2.10.0+cpu
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2