metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spcas9_Lindel_del
results: []
SX_spcas9_Lindel_del
This model is a fine-tuned version of on the crispr_data dataset. It achieves the following results on the evaluation set:
- Loss: 485.8497
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 |
|---|---|---|---|
| 1639932.1242 | 1.0 | 322 | 1451194.75 |
| 1170955.1304 | 2.0 | 644 | 879018.125 |
| 668311.205 | 3.0 | 966 | 481150.9688 |
| 354040.7453 | 4.0 | 1288 | 243787.7969 |
| 172058.2112 | 5.0 | 1610 | 111857.2188 |
| 74990.9317 | 6.0 | 1932 | 45317.6211 |
| 28637.1832 | 7.0 | 2254 | 15956.7168 |
| 9671.6887 | 8.0 | 2576 | 5217.2334 |
| 3271.1561 | 9.0 | 2898 | 1948.1644 |
| 1383.4698 | 10.0 | 3220 | 997.2701 |
| 819.2453 | 11.0 | 3542 | 693.3664 |
| 627.9001 | 12.0 | 3864 | 580.8185 |
| 553.0539 | 13.0 | 4186 | 535.3550 |
| 520.377 | 14.0 | 4508 | 513.3119 |
| 504.9842 | 15.0 | 4830 | 503.2633 |
| 496.7649 | 16.0 | 5152 | 497.5236 |
| 492.2789 | 17.0 | 5474 | 494.7324 |
| 489.4629 | 18.0 | 5796 | 492.8104 |
| 487.5595 | 19.0 | 6118 | 490.7387 |
| 486.0928 | 20.0 | 6440 | 489.5580 |
| 484.9171 | 21.0 | 6762 | 489.2057 |
| 483.9671 | 22.0 | 7084 | 488.9616 |
| 482.94 | 23.0 | 7406 | 488.0703 |
| 482.0667 | 24.0 | 7728 | 487.5552 |
| 481.2922 | 25.0 | 8050 | 487.0010 |
| 480.3615 | 26.0 | 8372 | 487.0323 |
| 479.5074 | 27.0 | 8694 | 486.2943 |
| 478.616 | 28.0 | 9016 | 486.2218 |
| 477.7446 | 29.0 | 9338 | 485.9136 |
| 476.8102 | 30.0 | 9660 | 485.8497 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1