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dg7s
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calculator_model_test1

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_test1
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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_test1
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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: 0.0812
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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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+ - mixed_precision_training: Native AMP
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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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+ | 2.9229 | 1.0 | 6 | 2.2326 |
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+ | 2.0049 | 2.0 | 12 | 1.7103 |
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+ | 1.5420 | 3.0 | 18 | 1.3654 |
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+ | 1.2160 | 4.0 | 24 | 1.0594 |
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+ | 1.0152 | 5.0 | 30 | 0.9351 |
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+ | 0.9045 | 6.0 | 36 | 0.8313 |
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+ | 0.8259 | 7.0 | 42 | 0.7719 |
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+ | 0.7393 | 8.0 | 48 | 0.6679 |
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+ | 0.6706 | 9.0 | 54 | 0.6165 |
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+ | 0.6159 | 10.0 | 60 | 0.5675 |
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+ | 0.5727 | 11.0 | 66 | 0.5366 |
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+ | 0.5439 | 12.0 | 72 | 0.4941 |
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+ | 0.5177 | 13.0 | 78 | 0.4715 |
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+ | 0.4960 | 14.0 | 84 | 0.4656 |
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+ | 0.4791 | 15.0 | 90 | 0.4849 |
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+ | 0.4674 | 16.0 | 96 | 0.4290 |
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+ | 0.4400 | 17.0 | 102 | 0.4014 |
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+ | 0.4173 | 18.0 | 108 | 0.3741 |
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+ | 0.3855 | 19.0 | 114 | 0.3403 |
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+ | 0.3612 | 20.0 | 120 | 0.3264 |
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+ | 0.3450 | 21.0 | 126 | 0.3056 |
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+ | 0.3191 | 22.0 | 132 | 0.2809 |
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+ | 0.2951 | 23.0 | 138 | 0.2809 |
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+ | 0.2872 | 24.0 | 144 | 0.2439 |
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+ | 0.2758 | 25.0 | 150 | 0.2237 |
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+ | 0.2452 | 26.0 | 156 | 0.2104 |
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+ | 0.2263 | 27.0 | 162 | 0.1879 |
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+ | 0.2083 | 28.0 | 168 | 0.1739 |
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+ | 0.1974 | 29.0 | 174 | 0.1584 |
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+ | 0.1776 | 30.0 | 180 | 0.1451 |
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+ | 0.1669 | 31.0 | 186 | 0.1376 |
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+ | 0.1565 | 32.0 | 192 | 0.1234 |
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+ | 0.1502 | 33.0 | 198 | 0.1140 |
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+ | 0.1403 | 34.0 | 204 | 0.1007 |
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+ | 0.1341 | 35.0 | 210 | 0.0964 |
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+ | 0.1284 | 36.0 | 216 | 0.0911 |
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+ | 0.1234 | 37.0 | 222 | 0.0865 |
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+ | 0.1154 | 38.0 | 228 | 0.0845 |
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+ | 0.1172 | 39.0 | 234 | 0.0826 |
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+ | 0.1149 | 40.0 | 240 | 0.0812 |
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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