metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spcas9_Lindel_ins
results: []
SX_spcas9_Lindel_ins
This model is a fine-tuned version of on the crispr_data dataset. It achieves the following results on the evaluation set:
- Loss: 118.8871
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: 100
- eval_batch_size: 100
- seed: 63036
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 30.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2595.4693 | 1.0 | 322 | 2302.3330 |
| 1885.3166 | 2.0 | 644 | 1433.8242 |
| 1119.2578 | 3.0 | 966 | 831.3669 |
| 645.7554 | 4.0 | 1288 | 480.0594 |
| 379.3376 | 5.0 | 1610 | 290.9019 |
| 240.7951 | 6.0 | 1932 | 196.7971 |
| 174.6216 | 7.0 | 2254 | 153.8004 |
| 144.8395 | 8.0 | 2576 | 134.7415 |
| 131.6674 | 9.0 | 2898 | 126.3455 |
| 125.8075 | 10.0 | 3220 | 122.5115 |
| 123.0748 | 11.0 | 3542 | 120.7852 |
| 121.7798 | 12.0 | 3864 | 119.8598 |
| 121.1377 | 13.0 | 4186 | 119.4862 |
| 120.8166 | 14.0 | 4508 | 119.2716 |
| 120.6393 | 15.0 | 4830 | 119.1398 |
| 120.543 | 16.0 | 5152 | 119.0641 |
| 120.4804 | 17.0 | 5474 | 119.0181 |
| 120.4366 | 18.0 | 5796 | 119.0158 |
| 120.399 | 19.0 | 6118 | 118.9957 |
| 120.3748 | 20.0 | 6440 | 118.9688 |
| 120.352 | 21.0 | 6762 | 118.9434 |
| 120.335 | 22.0 | 7084 | 118.9398 |
| 120.3156 | 23.0 | 7406 | 118.9235 |
| 120.2998 | 24.0 | 7728 | 118.9259 |
| 120.2888 | 25.0 | 8050 | 118.9086 |
| 120.2759 | 26.0 | 8372 | 118.8957 |
| 120.264 | 27.0 | 8694 | 118.8918 |
| 120.2537 | 28.0 | 9016 | 118.8931 |
| 120.2435 | 29.0 | 9338 | 118.8874 |
| 120.235 | 30.0 | 9660 | 118.8871 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1