File size: 3,200 Bytes
e38d8c5 |
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: 0.9144
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3969 | 1.0 | 6 | 2.7182 |
| 2.3315 | 2.0 | 12 | 1.9518 |
| 1.7958 | 3.0 | 18 | 1.6778 |
| 1.6131 | 4.0 | 24 | 1.5845 |
| 1.5584 | 5.0 | 30 | 1.5760 |
| 1.548 | 6.0 | 36 | 1.5781 |
| 1.5369 | 7.0 | 42 | 1.5516 |
| 1.5412 | 8.0 | 48 | 1.6085 |
| 1.5311 | 9.0 | 54 | 1.5398 |
| 1.5435 | 10.0 | 60 | 1.5587 |
| 1.5138 | 11.0 | 66 | 1.5452 |
| 1.5192 | 12.0 | 72 | 1.5345 |
| 1.4818 | 13.0 | 78 | 1.6037 |
| 1.4935 | 14.0 | 84 | 1.5391 |
| 1.4396 | 15.0 | 90 | 1.8690 |
| 1.4801 | 16.0 | 96 | 1.4349 |
| 1.4051 | 17.0 | 102 | 1.3765 |
| 1.3563 | 18.0 | 108 | 1.3655 |
| 1.3188 | 19.0 | 114 | 1.3211 |
| 1.3023 | 20.0 | 120 | 1.2695 |
| 1.259 | 21.0 | 126 | 1.2644 |
| 1.2366 | 22.0 | 132 | 1.2287 |
| 1.2252 | 23.0 | 138 | 1.1858 |
| 1.2205 | 24.0 | 144 | 1.1587 |
| 1.1593 | 25.0 | 150 | 1.1855 |
| 1.1639 | 26.0 | 156 | 1.1943 |
| 1.1617 | 27.0 | 162 | 1.1305 |
| 1.1493 | 28.0 | 168 | 1.0901 |
| 1.1031 | 29.0 | 174 | 1.0640 |
| 1.0901 | 30.0 | 180 | 1.0242 |
| 1.0582 | 31.0 | 186 | 1.0066 |
| 1.0423 | 32.0 | 192 | 0.9996 |
| 1.0239 | 33.0 | 198 | 0.9732 |
| 1.0151 | 34.0 | 204 | 0.9871 |
| 1.0452 | 35.0 | 210 | 0.9655 |
| 1.009 | 36.0 | 216 | 0.9411 |
| 0.9819 | 37.0 | 222 | 0.9342 |
| 0.9773 | 38.0 | 228 | 0.9235 |
| 0.9743 | 39.0 | 234 | 0.9175 |
| 0.9722 | 40.0 | 240 | 0.9144 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
|