---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spcas9_CRISPR_transformer
  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. -->

# SX_spcas9_CRISPR_transformer

This model is a fine-tuned version of [](https://huggingface.co/) 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