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Gi8on
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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: 0.6463
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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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+ | 3.4635 | 1.0 | 5 | 2.8650 |
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+ | 2.5314 | 2.0 | 10 | 2.1158 |
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+ | 1.9819 | 3.0 | 15 | 1.8063 |
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+ | 1.6986 | 4.0 | 20 | 1.6031 |
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+ | 1.5730 | 5.0 | 25 | 1.5538 |
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+ | 1.5102 | 6.0 | 30 | 1.5036 |
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+ | 1.4481 | 7.0 | 35 | 1.4591 |
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+ | 1.3779 | 8.0 | 40 | 1.3530 |
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+ | 1.3051 | 9.0 | 45 | 1.2608 |
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+ | 1.2610 | 10.0 | 50 | 1.1978 |
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+ | 1.2074 | 11.0 | 55 | 1.2343 |
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+ | 1.1567 | 12.0 | 60 | 1.1180 |
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+ | 1.1375 | 13.0 | 65 | 1.1520 |
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+ | 1.1428 | 14.0 | 70 | 1.1030 |
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+ | 1.0972 | 15.0 | 75 | 1.0581 |
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+ | 1.0503 | 16.0 | 80 | 0.9979 |
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+ | 0.9758 | 17.0 | 85 | 0.9513 |
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+ | 0.9473 | 18.0 | 90 | 0.9317 |
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+ | 0.9206 | 19.0 | 95 | 0.9380 |
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+ | 0.9384 | 20.0 | 100 | 0.8643 |
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+ | 0.8769 | 21.0 | 105 | 0.9630 |
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+ | 0.9673 | 22.0 | 110 | 0.9533 |
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+ | 0.9098 | 23.0 | 115 | 0.8435 |
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+ | 0.8675 | 24.0 | 120 | 0.8262 |
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+ | 0.8382 | 25.0 | 125 | 0.8295 |
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+ | 0.8148 | 26.0 | 130 | 0.7936 |
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+ | 0.8002 | 27.0 | 135 | 0.7727 |
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+ | 0.7794 | 28.0 | 140 | 0.7617 |
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+ | 0.7631 | 29.0 | 145 | 0.7373 |
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+ | 0.7419 | 30.0 | 150 | 0.7182 |
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+ | 0.7297 | 31.0 | 155 | 0.7168 |
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+ | 0.7208 | 32.0 | 160 | 0.6962 |
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+ | 0.7054 | 33.0 | 165 | 0.6853 |
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+ | 0.6964 | 34.0 | 170 | 0.6826 |
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+ | 0.6895 | 35.0 | 175 | 0.6700 |
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+ | 0.6787 | 36.0 | 180 | 0.6599 |
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+ | 0.6689 | 37.0 | 185 | 0.6539 |
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+ | 0.6651 | 38.0 | 190 | 0.6495 |
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+ | 0.6646 | 39.0 | 195 | 0.6490 |
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+ | 0.6592 | 40.0 | 200 | 0.6463 |
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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+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2