File size: 3,200 Bytes
9ca2a1a |
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: 0.8124
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3916 | 1.0 | 6 | 2.7549 |
| 2.4048 | 2.0 | 12 | 1.9876 |
| 1.8591 | 3.0 | 18 | 1.8948 |
| 1.6663 | 4.0 | 24 | 1.6188 |
| 1.586 | 5.0 | 30 | 1.5494 |
| 1.5053 | 6.0 | 36 | 1.6146 |
| 1.5878 | 7.0 | 42 | 1.5655 |
| 1.5183 | 8.0 | 48 | 1.5487 |
| 1.5695 | 9.0 | 54 | 1.5368 |
| 1.5206 | 10.0 | 60 | 1.5189 |
| 1.4748 | 11.0 | 66 | 1.5096 |
| 1.4616 | 12.0 | 72 | 1.4969 |
| 1.4502 | 13.0 | 78 | 1.4454 |
| 1.4039 | 14.0 | 84 | 1.4019 |
| 1.3864 | 15.0 | 90 | 1.3711 |
| 1.3878 | 16.0 | 96 | 1.3687 |
| 1.3034 | 17.0 | 102 | 1.2939 |
| 1.2768 | 18.0 | 108 | 1.3036 |
| 1.2649 | 19.0 | 114 | 1.2028 |
| 1.26 | 20.0 | 120 | 1.1679 |
| 1.198 | 21.0 | 126 | 1.2472 |
| 1.1989 | 22.0 | 132 | 1.2993 |
| 1.2132 | 23.0 | 138 | 1.0975 |
| 1.1436 | 24.0 | 144 | 1.0720 |
| 1.0686 | 25.0 | 150 | 1.1057 |
| 1.0627 | 26.0 | 156 | 1.0181 |
| 1.0 | 27.0 | 162 | 0.9821 |
| 1.0395 | 28.0 | 168 | 0.9878 |
| 0.9847 | 29.0 | 174 | 0.9409 |
| 0.9655 | 30.0 | 180 | 0.9396 |
| 0.9791 | 31.0 | 186 | 0.9019 |
| 0.9318 | 32.0 | 192 | 0.8818 |
| 0.9103 | 33.0 | 198 | 0.8827 |
| 0.9049 | 34.0 | 204 | 0.8853 |
| 0.9553 | 35.0 | 210 | 0.8960 |
| 0.8924 | 36.0 | 216 | 0.8598 |
| 0.9028 | 37.0 | 222 | 0.8312 |
| 0.8601 | 38.0 | 228 | 0.8177 |
| 0.8744 | 39.0 | 234 | 0.8153 |
| 0.8442 | 40.0 | 240 | 0.8124 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|