End of training

README.md

@@ -0,0 +1,94 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: calculator_model_test
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# calculator_model_test
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7408
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 512
+- eval_batch_size: 512
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.4176        | 1.0   | 6    | 2.8127          |
+| 2.4296        | 2.0   | 12   | 2.0690          |
+| 1.8443        | 3.0   | 18   | 1.6885          |
+| 1.6666        | 4.0   | 24   | 1.5769          |
+| 1.5906        | 5.0   | 30   | 1.5903          |
+| 1.5582        | 6.0   | 36   | 1.5658          |
+| 1.5621        | 7.0   | 42   | 1.5468          |
+| 1.5217        | 8.0   | 48   | 1.5043          |
+| 1.4893        | 9.0   | 54   | 1.4836          |
+| 1.4929        | 10.0  | 60   | 1.4403          |
+| 1.4309        | 11.0  | 66   | 1.4263          |
+| 1.4353        | 12.0  | 72   | 1.3740          |
+| 1.3626        | 13.0  | 78   | 1.2495          |
+| 1.2713        | 14.0  | 84   | 1.2969          |
+| 1.2557        | 15.0  | 90   | 1.2570          |
+| 1.2188        | 16.0  | 96   | 1.1866          |
+| 1.1469        | 17.0  | 102  | 1.1291          |
+| 1.1023        | 18.0  | 108  | 1.0906          |
+| 1.0688        | 19.0  | 114  | 1.0346          |
+| 1.0314        | 20.0  | 120  | 1.1635          |
+| 1.0971        | 21.0  | 126  | 1.1421          |
+| 1.0944        | 22.0  | 132  | 0.9807          |
+| 1.0208        | 23.0  | 138  | 1.0720          |
+| 1.0365        | 24.0  | 144  | 0.9644          |
+| 0.97          | 25.0  | 150  | 0.9323          |
+| 0.9316        | 26.0  | 156  | 0.8888          |
+| 0.9112        | 27.0  | 162  | 0.9156          |
+| 0.8913        | 28.0  | 168  | 0.9113          |
+| 0.8733        | 29.0  | 174  | 0.8876          |
+| 0.8755        | 30.0  | 180  | 0.8725          |
+| 0.8578        | 31.0  | 186  | 0.8051          |
+| 0.8409        | 32.0  | 192  | 0.8311          |
+| 0.8363        | 33.0  | 198  | 0.7970          |
+| 0.803         | 34.0  | 204  | 0.7995          |
+| 0.8088        | 35.0  | 210  | 0.7723          |
+| 0.7882        | 36.0  | 216  | 0.7635          |
+| 0.7851        | 37.0  | 222  | 0.7551          |
+| 0.7775        | 38.0  | 228  | 0.7460          |
+| 0.7979        | 39.0  | 234  | 0.7429          |
+| 0.7852        | 40.0  | 240  | 0.7408          |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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generation_config.json

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special_tokens_map.json

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