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: 0.4373
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 |
|---|---|---|---|
| 2.9387 | 1.0 | 6 | 2.2225 |
| 1.9975 | 2.0 | 12 | 1.6708 |
| 1.5075 | 3.0 | 18 | 1.2869 |
| 1.192 | 4.0 | 24 | 1.0852 |
| 1.0194 | 5.0 | 30 | 0.9349 |
| 0.8763 | 6.0 | 36 | 0.8014 |
| 0.777 | 7.0 | 42 | 0.7309 |
| 0.7214 | 8.0 | 48 | 0.6808 |
| 0.6716 | 9.0 | 54 | 0.6422 |
| 0.6235 | 10.0 | 60 | 0.5947 |
| 0.6023 | 11.0 | 66 | 0.5575 |
| 0.5757 | 12.0 | 72 | 0.5380 |
| 0.5418 | 13.0 | 78 | 0.5109 |
| 0.5253 | 14.0 | 84 | 0.4918 |
| 0.5081 | 15.0 | 90 | 0.4780 |
| 0.4872 | 16.0 | 96 | 0.4696 |
| 0.4816 | 17.0 | 102 | 0.4536 |
| 0.467 | 18.0 | 108 | 0.4458 |
| 0.4583 | 19.0 | 114 | 0.4396 |
| 0.4508 | 20.0 | 120 | 0.4373 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2