metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spcas9_CRISPR_transformer
results: []
SX_spcas9_CRISPR_transformer
This model is a fine-tuned version of on the crispr_data dataset. It achieves the following results on the evaluation set:
- Loss: 1334208.125
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 |
|---|---|---|---|
| 13454687.4037 | 1.0 | 322 | 4939422.5 |
| 4152085.8634 | 2.0 | 644 | 2624465.5 |
| 2175050.1366 | 3.0 | 966 | 1416192.125 |
| 1517438.0124 | 4.0 | 1288 | 1347445.125 |
| 1400623.3043 | 5.0 | 1610 | 1365390.75 |
| 1368684.5217 | 6.0 | 1932 | 1339115.375 |
| 1355148.323 | 7.0 | 2254 | 1339799.375 |
| 1348436.8696 | 8.0 | 2576 | 1337862.625 |
| 1343765.2671 | 9.0 | 2898 | 1336787.625 |
| 1342822.0621 | 10.0 | 3220 | 1339180.125 |
| 1339066.1366 | 11.0 | 3542 | 1345115.5 |
| 1340848.0994 | 12.0 | 3864 | 1335221.125 |
| 1339262.5093 | 13.0 | 4186 | 1335443.125 |
| 1338173.4161 | 14.0 | 4508 | 1336022.5 |
| 1337596.7205 | 15.0 | 4830 | 1335901.625 |
| 1336771.2795 | 16.0 | 5152 | 1337095.75 |
| 1334854.8571 | 17.0 | 5474 | 1335969.5 |
| 1333905.9876 | 18.0 | 5796 | 1334772.5 |
| 1335469.3168 | 19.0 | 6118 | 1335592.125 |
| 1333815.5528 | 20.0 | 6440 | 1335397.375 |
| 1334275.8758 | 21.0 | 6762 | 1338478.125 |
| 1333732.472 | 22.0 | 7084 | 1337926.5 |
| 1331810.2857 | 23.0 | 7406 | 1334152.875 |
| 1333228.1242 | 24.0 | 7728 | 1336674.75 |
| 1332199.4534 | 25.0 | 8050 | 1336287.625 |
| 1331443.8758 | 26.0 | 8372 | 1336826.0 |
| 1331173.0683 | 27.0 | 8694 | 1333565.25 |
| 1330894.6087 | 28.0 | 9016 | 1334126.875 |
| 1331071.5031 | 29.0 | 9338 | 1333494.5 |
| 1330270.6087 | 30.0 | 9660 | 1334208.125 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1