---
tags:
- generated_from_trainer
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [/home/woody/b114cb/b114cb10/zymCTRL/train/output/](https://huggingface.co//home/woody/b114cb/b114cb10/zymCTRL/train/output/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1872

## 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: 8e-05
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9089        | 0.09  | 10   | 0.9186          |
| 0.6625        | 0.18  | 20   | 0.5026          |
| 0.6228        | 0.27  | 30   | 0.4214          |
| 0.6733        | 0.35  | 40   | 0.3994          |
| 0.5581        | 0.44  | 50   | 0.3381          |
| 0.3853        | 0.53  | 60   | 0.3290          |
| 0.4146        | 0.62  | 70   | 0.2982          |
| 0.4702        | 0.71  | 80   | 0.2852          |
| 0.2309        | 0.8   | 90   | 0.3018          |
| 0.4707        | 0.88  | 100  | 0.2675          |
| 0.3001        | 0.97  | 110  | 0.2527          |
| 0.4044        | 1.06  | 120  | 0.2536          |
| 0.3605        | 1.15  | 130  | 0.2479          |
| 0.2309        | 1.24  | 140  | 0.2304          |
| 0.2481        | 1.33  | 150  | 0.2185          |
| 0.3251        | 1.42  | 160  | 0.2110          |
| 0.227         | 1.5   | 170  | 0.2128          |
| 0.238         | 1.59  | 180  | 0.2065          |
| 0.2171        | 1.68  | 190  | 0.2167          |
| 0.2844        | 1.77  | 200  | 0.2067          |
| 0.2822        | 1.86  | 210  | 0.2065          |
| 0.2111        | 1.95  | 220  | 0.2021          |
| 0.1915        | 2.04  | 230  | 0.2136          |
| 0.122         | 2.12  | 240  | 0.2245          |
| 0.1845        | 2.21  | 250  | 0.2035          |
| 0.1597        | 2.3   | 260  | 0.1980          |
| 0.1037        | 2.39  | 270  | 0.1939          |
| 0.109         | 2.48  | 280  | 0.1946          |
| 0.1312        | 2.57  | 290  | 0.1936          |
| 0.2261        | 2.65  | 300  | 0.1918          |
| 0.113         | 2.74  | 310  | 0.1863          |
| 0.1762        | 2.83  | 320  | 0.1790          |
| 0.1431        | 2.92  | 330  | 0.1783          |
| 0.2109        | 3.01  | 340  | 0.1761          |
| 0.0885        | 3.1   | 350  | 0.1844          |
| 0.0647        | 3.19  | 360  | 0.1922          |
| 0.126         | 3.27  | 370  | 0.1909          |
| 0.0965        | 3.36  | 380  | 0.1878          |
| 0.1068        | 3.45  | 390  | 0.1915          |
| 0.0973        | 3.54  | 400  | 0.1814          |
| 0.074         | 3.63  | 410  | 0.1835          |
| 0.0899        | 3.72  | 420  | 0.1821          |
| 0.1126        | 3.81  | 430  | 0.1807          |
| 0.0969        | 3.89  | 440  | 0.1776          |
| 0.0644        | 3.98  | 450  | 0.1764          |
| 0.049         | 4.07  | 460  | 0.1785          |
| 0.0466        | 4.16  | 470  | 0.1822          |
| 0.0545        | 4.25  | 480  | 0.1870          |
| 0.0391        | 4.34  | 490  | 0.1908          |
| 0.0614        | 4.42  | 500  | 0.1918          |
| 0.0597        | 4.51  | 510  | 0.1895          |
| 0.0461        | 4.6   | 520  | 0.1863          |
| 0.0456        | 4.69  | 530  | 0.1867          |
| 0.0438        | 4.78  | 540  | 0.1867          |
| 0.0394        | 4.87  | 550  | 0.1871          |
| 0.0454        | 4.96  | 560  | 0.1872          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.12.1+cu116
- Datasets 2.10.0
- Tokenizers 0.12.1