| | --- |
| | 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 |
| |
|
