File size: 3,200 Bytes
d6404c5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
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: 0.6587
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3715 | 1.0 | 6 | 2.7668 |
| 2.4459 | 2.0 | 12 | 2.0165 |
| 1.8589 | 3.0 | 18 | 1.7392 |
| 1.7744 | 4.0 | 24 | 1.6714 |
| 1.6018 | 5.0 | 30 | 1.5897 |
| 1.4921 | 6.0 | 36 | 1.5386 |
| 1.4816 | 7.0 | 42 | 1.4612 |
| 1.4355 | 8.0 | 48 | 1.4503 |
| 1.33 | 9.0 | 54 | 1.3248 |
| 1.2827 | 10.0 | 60 | 1.2280 |
| 1.234 | 11.0 | 66 | 1.2248 |
| 1.2229 | 12.0 | 72 | 1.3745 |
| 1.2522 | 13.0 | 78 | 1.1725 |
| 1.1299 | 14.0 | 84 | 1.0781 |
| 1.0669 | 15.0 | 90 | 1.0417 |
| 1.0125 | 16.0 | 96 | 1.0053 |
| 0.9977 | 17.0 | 102 | 1.0263 |
| 1.0611 | 18.0 | 108 | 1.0528 |
| 1.0357 | 19.0 | 114 | 0.9557 |
| 0.927 | 20.0 | 120 | 0.9334 |
| 0.9075 | 21.0 | 126 | 0.8948 |
| 0.8795 | 22.0 | 132 | 0.9888 |
| 0.9473 | 23.0 | 138 | 0.9332 |
| 0.8718 | 24.0 | 144 | 0.8529 |
| 0.8661 | 25.0 | 150 | 0.8421 |
| 0.8381 | 26.0 | 156 | 0.8280 |
| 0.7939 | 27.0 | 162 | 0.7921 |
| 0.8426 | 28.0 | 168 | 0.7751 |
| 0.7897 | 29.0 | 174 | 0.7592 |
| 0.7687 | 30.0 | 180 | 0.7575 |
| 0.77 | 31.0 | 186 | 0.7346 |
| 0.7479 | 32.0 | 192 | 0.7266 |
| 0.7247 | 33.0 | 198 | 0.7156 |
| 0.7278 | 34.0 | 204 | 0.7154 |
| 0.7241 | 35.0 | 210 | 0.6853 |
| 0.7037 | 36.0 | 216 | 0.6897 |
| 0.6949 | 37.0 | 222 | 0.6697 |
| 0.7135 | 38.0 | 228 | 0.6661 |
| 0.6864 | 39.0 | 234 | 0.6619 |
| 0.6812 | 40.0 | 240 | 0.6587 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|