---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spcas9_Lindel_indel
  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_Lindel_indel

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: 47.0798

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1022.9014     | 1.0   | 322  | 880.6261        |
| 710.5549      | 2.0   | 644  | 540.0052        |
| 420.3118      | 3.0   | 966  | 316.6205        |
| 244.2501      | 4.0   | 1288 | 185.2687        |
| 144.4954      | 5.0   | 1610 | 113.2889        |
| 92.2284       | 6.0   | 1932 | 77.3025         |
| 66.9501       | 7.0   | 2254 | 60.5766         |
| 55.4648       | 8.0   | 2576 | 53.1402         |
| 50.3219       | 9.0   | 2898 | 49.8257         |
| 48.0616       | 10.0  | 3220 | 48.4087         |
| 47.0631       | 11.0  | 3542 | 47.6446         |
| 46.6081       | 12.0  | 3864 | 47.4013         |
| 46.3857       | 13.0  | 4186 | 47.2288         |
| 46.2889       | 14.0  | 4508 | 47.1596         |
| 46.2447       | 15.0  | 4830 | 47.0971         |
| 46.2195       | 16.0  | 5152 | 47.1162         |
| 46.2015       | 17.0  | 5474 | 47.1085         |
| 46.1924       | 18.0  | 5796 | 47.0946         |
| 46.1853       | 19.0  | 6118 | 47.1015         |
| 46.1784       | 20.0  | 6440 | 47.0497         |
| 46.1757       | 21.0  | 6762 | 47.0853         |
| 46.1676       | 22.0  | 7084 | 47.0706         |
| 46.1614       | 23.0  | 7406 | 47.1253         |
| 46.155        | 24.0  | 7728 | 47.0727         |
| 46.1499       | 25.0  | 8050 | 47.0992         |
| 46.1442       | 26.0  | 8372 | 47.0982         |
| 46.1369       | 27.0  | 8694 | 47.0905         |
| 46.1309       | 28.0  | 9016 | 47.0622         |
| 46.1231       | 29.0  | 9338 | 47.0786         |
| 46.117        | 30.0  | 9660 | 47.0798         |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1