File size: 3,766 Bytes
702727c | 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 96 97 98 99 100 101 102 103 104 105 106 107 | ---
license: apache-2.0
base_model: samhitmantrala/ckt1
tags:
- generated_from_trainer
model-index:
- name: ckt2
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. -->
# ckt2
This model is a fine-tuned version of [samhitmantrala/ckt1](https://huggingface.co/samhitmantrala/ckt1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6151
## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 1 | 0.9362 |
| No log | 2.0 | 2 | 0.9030 |
| No log | 3.0 | 3 | 0.8719 |
| No log | 4.0 | 4 | 0.8419 |
| No log | 5.0 | 5 | 0.8177 |
| No log | 6.0 | 6 | 0.7950 |
| No log | 7.0 | 7 | 0.7742 |
| No log | 8.0 | 8 | 0.7567 |
| No log | 9.0 | 9 | 0.7407 |
| No log | 10.0 | 10 | 0.7287 |
| No log | 11.0 | 11 | 0.7185 |
| No log | 12.0 | 12 | 0.7094 |
| No log | 13.0 | 13 | 0.7015 |
| No log | 14.0 | 14 | 0.6948 |
| No log | 15.0 | 15 | 0.6899 |
| No log | 16.0 | 16 | 0.6856 |
| No log | 17.0 | 17 | 0.6820 |
| No log | 18.0 | 18 | 0.6784 |
| No log | 19.0 | 19 | 0.6769 |
| No log | 20.0 | 20 | 0.6741 |
| No log | 21.0 | 21 | 0.6699 |
| No log | 22.0 | 22 | 0.6656 |
| No log | 23.0 | 23 | 0.6606 |
| No log | 24.0 | 24 | 0.6549 |
| No log | 25.0 | 25 | 0.6488 |
| No log | 26.0 | 26 | 0.6434 |
| No log | 27.0 | 27 | 0.6395 |
| No log | 28.0 | 28 | 0.6360 |
| No log | 29.0 | 29 | 0.6335 |
| No log | 30.0 | 30 | 0.6318 |
| No log | 31.0 | 31 | 0.6305 |
| No log | 32.0 | 32 | 0.6285 |
| No log | 33.0 | 33 | 0.6275 |
| No log | 34.0 | 34 | 0.6265 |
| No log | 35.0 | 35 | 0.6263 |
| No log | 36.0 | 36 | 0.6257 |
| No log | 37.0 | 37 | 0.6251 |
| No log | 38.0 | 38 | 0.6244 |
| No log | 39.0 | 39 | 0.6237 |
| No log | 40.0 | 40 | 0.6229 |
| No log | 41.0 | 41 | 0.6221 |
| No log | 42.0 | 42 | 0.6210 |
| No log | 43.0 | 43 | 0.6199 |
| No log | 44.0 | 44 | 0.6188 |
| No log | 45.0 | 45 | 0.6178 |
| No log | 46.0 | 46 | 0.6170 |
| No log | 47.0 | 47 | 0.6161 |
| No log | 48.0 | 48 | 0.6156 |
| No log | 49.0 | 49 | 0.6153 |
| No log | 50.0 | 50 | 0.6151 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|