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Piotr989
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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: 1.4265
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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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+ | 4.0125 | 1.0 | 1 | 3.6878 |
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+ | 3.6498 | 2.0 | 2 | 3.5295 |
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+ | 3.4629 | 3.0 | 3 | 3.3332 |
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+ | 3.2765 | 4.0 | 4 | 3.1663 |
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+ | 3.1127 | 5.0 | 5 | 3.0043 |
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+ | 2.9448 | 6.0 | 6 | 2.8323 |
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+ | 2.7697 | 7.0 | 7 | 2.6876 |
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+ | 2.6241 | 8.0 | 8 | 2.5433 |
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+ | 2.4805 | 9.0 | 9 | 2.4253 |
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+ | 2.3517 | 10.0 | 10 | 2.3125 |
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+ | 2.2358 | 11.0 | 11 | 2.2009 |
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+ | 2.1403 | 12.0 | 12 | 2.1837 |
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+ | 2.1043 | 13.0 | 13 | 2.0344 |
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+ | 1.9684 | 14.0 | 14 | 1.9755 |
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+ | 1.9150 | 15.0 | 15 | 1.9030 |
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+ | 1.8323 | 16.0 | 16 | 1.8490 |
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+ | 1.7779 | 17.0 | 17 | 1.8000 |
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+ | 1.7274 | 18.0 | 18 | 1.7390 |
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+ | 1.6730 | 19.0 | 19 | 1.6942 |
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+ | 1.6266 | 20.0 | 20 | 1.6702 |
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+ | 1.5963 | 21.0 | 21 | 1.6459 |
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+ | 1.5845 | 22.0 | 22 | 1.6264 |
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+ | 1.5394 | 23.0 | 23 | 1.6115 |
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+ | 1.5139 | 24.0 | 24 | 1.5931 |
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+ | 1.5036 | 25.0 | 25 | 1.5726 |
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+ | 1.4759 | 26.0 | 26 | 1.5746 |
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+ | 1.4579 | 27.0 | 27 | 1.5542 |
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+ | 1.4363 | 28.0 | 28 | 1.5278 |
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+ | 1.4208 | 29.0 | 29 | 1.5133 |
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+ | 1.4009 | 30.0 | 30 | 1.5193 |
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+ | 1.3886 | 31.0 | 31 | 1.5103 |
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+ | 1.3856 | 32.0 | 32 | 1.4881 |
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+ | 1.3618 | 33.0 | 33 | 1.4763 |
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+ | 1.3572 | 34.0 | 34 | 1.4638 |
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+ | 1.3401 | 35.0 | 35 | 1.4597 |
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+ | 1.3332 | 36.0 | 36 | 1.4534 |
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+ | 1.3307 | 37.0 | 37 | 1.4416 |
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+ | 1.3191 | 38.0 | 38 | 1.4326 |
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+ | 1.3106 | 39.0 | 39 | 1.4282 |
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+ | 1.3145 | 40.0 | 40 | 1.4265 |
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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