---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spcas9_FOREcasT
  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_FOREcasT

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: 90.0301

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5299.9422     | 1.0   | 322  | 4486.6816       |
| 3409.13       | 2.0   | 644  | 2367.0308       |
| 1740.73       | 3.0   | 966  | 1208.4238       |
| 886.9884      | 4.0   | 1288 | 619.2037        |
| 463.7353      | 5.0   | 1610 | 335.7322        |
| 264.2752      | 6.0   | 1932 | 205.3073        |
| 173.0323      | 7.0   | 2254 | 145.6962        |
| 131.4609      | 8.0   | 2576 | 117.9419        |
| 111.7286      | 9.0   | 2898 | 104.6322        |
| 102.0464      | 10.0  | 3220 | 97.9003         |
| 97.07         | 11.0  | 3542 | 94.3013         |
| 94.5021       | 12.0  | 3864 | 92.5289         |
| 93.0652       | 13.0  | 4186 | 91.5912         |
| 92.3189       | 14.0  | 4508 | 91.0249         |
| 91.8618       | 15.0  | 4830 | 90.6213         |
| 91.6092       | 16.0  | 5152 | 90.4249         |
| 91.4372       | 17.0  | 5474 | 90.2542         |
| 91.3401       | 18.0  | 5796 | 90.2745         |
| 91.2793       | 19.0  | 6118 | 90.1836         |
| 91.2196       | 20.0  | 6440 | 90.1465         |
| 91.1831       | 21.0  | 6762 | 90.0652         |
| 91.1484       | 22.0  | 7084 | 90.1792         |
| 91.1333       | 23.0  | 7406 | 90.0813         |
| 91.1064       | 24.0  | 7728 | 90.1987         |
| 91.09         | 25.0  | 8050 | 90.0518         |
| 91.0658       | 26.0  | 8372 | 90.0653         |
| 91.0503       | 27.0  | 8694 | 90.0538         |
| 91.0277       | 28.0  | 9016 | 90.0120         |
| 91.013        | 29.0  | 9338 | 90.0356         |
| 90.9967       | 30.0  | 9660 | 90.0301         |


### Framework versions

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