---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spcas9_Lindel_ins
  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_ins

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: 118.8835

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2592.139      | 1.0   | 322  | 2299.6372       |
| 1882.8207     | 2.0   | 644  | 1432.0791       |
| 1117.6372     | 3.0   | 966  | 830.2626        |
| 644.7085      | 4.0   | 1288 | 479.4404        |
| 378.6847      | 5.0   | 1610 | 290.6512        |
| 240.4353      | 6.0   | 1932 | 196.7566        |
| 174.4188      | 7.0   | 2254 | 153.8273        |
| 144.7067      | 8.0   | 2576 | 134.7553        |
| 131.5677      | 9.0   | 2898 | 126.3467        |
| 125.732       | 10.0  | 3220 | 122.4993        |
| 123.021       | 11.0  | 3542 | 120.7702        |
| 121.7424      | 12.0  | 3864 | 119.8428        |
| 121.1115      | 13.0  | 4186 | 119.4692        |
| 120.7975      | 14.0  | 4508 | 119.2571        |
| 120.6251      | 15.0  | 4830 | 119.1266        |
| 120.5323      | 16.0  | 5152 | 119.0528        |
| 120.4722      | 17.0  | 5474 | 119.0086        |
| 120.4303      | 18.0  | 5796 | 119.0070        |
| 120.394       | 19.0  | 6118 | 118.9882        |
| 120.3706      | 20.0  | 6440 | 118.9626        |
| 120.3484      | 21.0  | 6762 | 118.9377        |
| 120.3319      | 22.0  | 7084 | 118.9345        |
| 120.313       | 23.0  | 7406 | 118.9186        |
| 120.2975      | 24.0  | 7728 | 118.9214        |
| 120.2867      | 25.0  | 8050 | 118.9044        |
| 120.2739      | 26.0  | 8372 | 118.8918        |
| 120.2623      | 27.0  | 8694 | 118.8881        |
| 120.252       | 28.0  | 9016 | 118.8894        |
| 120.2417      | 29.0  | 9338 | 118.8838        |
| 120.2334      | 30.0  | 9660 | 118.8835        |


### Framework versions

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