metadata
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
results: []
calculator_model_test
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4351
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0154 | 1.0 | 6 | 2.2475 |
| 2.0355 | 2.0 | 12 | 1.7612 |
| 1.6034 | 3.0 | 18 | 1.3483 |
| 1.2488 | 4.0 | 24 | 1.1102 |
| 1.0428 | 5.0 | 30 | 0.9643 |
| 0.9306 | 6.0 | 36 | 0.8449 |
| 0.8076 | 7.0 | 42 | 0.7526 |
| 0.7471 | 8.0 | 48 | 0.6843 |
| 0.6988 | 9.0 | 54 | 0.6786 |
| 0.6455 | 10.0 | 60 | 0.6155 |
| 0.6157 | 11.0 | 66 | 0.5713 |
| 0.5822 | 12.0 | 72 | 0.5486 |
| 0.5499 | 13.0 | 78 | 0.5163 |
| 0.526 | 14.0 | 84 | 0.4938 |
| 0.5133 | 15.0 | 90 | 0.4823 |
| 0.4917 | 16.0 | 96 | 0.4683 |
| 0.4792 | 17.0 | 102 | 0.4520 |
| 0.4677 | 18.0 | 108 | 0.4449 |
| 0.4616 | 19.0 | 114 | 0.4378 |
| 0.4502 | 20.0 | 120 | 0.4351 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2