---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spcas9_Lindel_del
  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_del

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: 485.8497

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1639932.1242  | 1.0   | 322  | 1451194.75      |
| 1170955.1304  | 2.0   | 644  | 879018.125      |
| 668311.205    | 3.0   | 966  | 481150.9688     |
| 354040.7453   | 4.0   | 1288 | 243787.7969     |
| 172058.2112   | 5.0   | 1610 | 111857.2188     |
| 74990.9317    | 6.0   | 1932 | 45317.6211      |
| 28637.1832    | 7.0   | 2254 | 15956.7168      |
| 9671.6887     | 8.0   | 2576 | 5217.2334       |
| 3271.1561     | 9.0   | 2898 | 1948.1644       |
| 1383.4698     | 10.0  | 3220 | 997.2701        |
| 819.2453      | 11.0  | 3542 | 693.3664        |
| 627.9001      | 12.0  | 3864 | 580.8185        |
| 553.0539      | 13.0  | 4186 | 535.3550        |
| 520.377       | 14.0  | 4508 | 513.3119        |
| 504.9842      | 15.0  | 4830 | 503.2633        |
| 496.7649      | 16.0  | 5152 | 497.5236        |
| 492.2789      | 17.0  | 5474 | 494.7324        |
| 489.4629      | 18.0  | 5796 | 492.8104        |
| 487.5595      | 19.0  | 6118 | 490.7387        |
| 486.0928      | 20.0  | 6440 | 489.5580        |
| 484.9171      | 21.0  | 6762 | 489.2057        |
| 483.9671      | 22.0  | 7084 | 488.9616        |
| 482.94        | 23.0  | 7406 | 488.0703        |
| 482.0667      | 24.0  | 7728 | 487.5552        |
| 481.2922      | 25.0  | 8050 | 487.0010        |
| 480.3615      | 26.0  | 8372 | 487.0323        |
| 479.5074      | 27.0  | 8694 | 486.2943        |
| 478.616       | 28.0  | 9016 | 486.2218        |
| 477.7446      | 29.0  | 9338 | 485.9136        |
| 476.8102      | 30.0  | 9660 | 485.8497        |


### Framework versions

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