---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- crispr_data
model-index:
- name: SX_spymac_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_spymac_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: 119.2468

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2556.3674     | 1.0   | 327  | 2267.2915       |
| 1854.776      | 2.0   | 654  | 1407.0547       |
| 1097.5239     | 3.0   | 981  | 812.6055        |
| 630.9811      | 4.0   | 1308 | 467.9777        |
| 370.5749      | 5.0   | 1635 | 283.4810        |
| 236.7095      | 6.0   | 1962 | 193.0472        |
| 173.0947      | 7.0   | 2289 | 152.0597        |
| 144.8752      | 8.0   | 2616 | 134.1329        |
| 132.4725      | 9.0   | 2943 | 126.2140        |
| 126.8917      | 10.0  | 3270 | 122.6400        |
| 124.3303      | 11.0  | 3597 | 120.9474        |
| 123.1025      | 12.0  | 3924 | 120.1213        |
| 122.4976      | 13.0  | 4251 | 119.7383        |
| 122.1977      | 14.0  | 4578 | 119.6165        |
| 122.0415      | 15.0  | 4905 | 119.4864        |
| 121.9523      | 16.0  | 5232 | 119.4457        |
| 121.8987      | 17.0  | 5559 | 119.3924        |
| 121.8588      | 18.0  | 5886 | 119.3609        |
| 121.8288      | 19.0  | 6213 | 119.3318        |
| 121.8026      | 20.0  | 6540 | 119.2987        |
| 121.7802      | 21.0  | 6867 | 119.3034        |
| 121.7603      | 22.0  | 7194 | 119.2751        |
| 121.7477      | 23.0  | 7521 | 119.2694        |
| 121.7309      | 24.0  | 7848 | 119.2594        |
| 121.7196      | 25.0  | 8175 | 119.2585        |
| 121.7066      | 26.0  | 8502 | 119.2561        |
| 121.6949      | 27.0  | 8829 | 119.2545        |
| 121.6839      | 28.0  | 9156 | 119.2495        |
| 121.6734      | 29.0  | 9483 | 119.2465        |
| 121.6636      | 30.0  | 9810 | 119.2468        |


### Framework versions

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