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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Code_Corrector_Model
  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. -->

# Code_Corrector_Model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9156
- Bleu: 0.0
- Gen Len: 19.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
| No log        | 1.0   | 8    | 6.6371          | 0.0  | 19.0    |
| 6.8242        | 2.0   | 16   | 5.2780          | 0.0  | 19.0    |
| 6.8242        | 3.0   | 24   | 4.4851          | 0.0  | 19.0    |
| 5.345         | 4.0   | 32   | 3.7656          | 0.0  | 19.0    |
| 5.345         | 5.0   | 40   | 3.0462          | 0.0  | 19.0    |
| 4.0321        | 6.0   | 48   | 2.4729          | 0.0  | 19.0    |
| 3.2425        | 7.0   | 56   | 2.1585          | 0.0  | 11.7931 |
| 3.2425        | 8.0   | 64   | 2.0606          | 0.0  | 0.0     |
| 2.8344        | 9.0   | 72   | 2.0090          | 0.0  | 0.0     |
| 2.8344        | 10.0  | 80   | 1.9443          | 0.0  | 0.0     |
| 2.6721        | 11.0  | 88   | 1.8702          | 0.0  | 0.0     |
| 2.6721        | 12.0  | 96   | 1.8071          | 0.0  | 0.0     |
| 2.5019        | 13.0  | 104  | 1.7541          | 0.0  | 0.0     |
| 2.3339        | 14.0  | 112  | 1.7014          | 0.0  | 0.0     |
| 2.3339        | 15.0  | 120  | 1.6502          | 0.0  | 0.0     |
| 2.2227        | 16.0  | 128  | 1.6094          | 0.0  | 0.0     |
| 2.2227        | 17.0  | 136  | 1.5746          | 0.0  | 0.0     |
| 2.1738        | 18.0  | 144  | 1.5353          | 0.0  | 0.0     |
| 2.1738        | 19.0  | 152  | 1.5066          | 0.0  | 0.0     |
| 2.054         | 20.0  | 160  | 1.4870          | 0.0  | 0.0     |
| 1.9707        | 21.0  | 168  | 1.4581          | 0.0  | 0.0     |
| 1.9707        | 22.0  | 176  | 1.4359          | 0.0  | 0.0     |
| 1.96          | 23.0  | 184  | 1.4032          | 0.0  | 0.0     |
| 1.96          | 24.0  | 192  | 1.3737          | 0.0  | 0.0     |
| 1.7402        | 25.0  | 200  | 1.3482          | 0.0  | 0.0     |
| 1.7402        | 26.0  | 208  | 1.3257          | 0.0  | 0.0     |
| 1.7044        | 27.0  | 216  | 1.3047          | 0.0  | 0.0     |
| 1.751         | 28.0  | 224  | 1.2861          | 0.0  | 0.0     |
| 1.751         | 29.0  | 232  | 1.2644          | 0.0  | 0.0     |
| 1.6414        | 30.0  | 240  | 1.2353          | 0.0  | 0.0     |
| 1.6414        | 31.0  | 248  | 1.2160          | 0.0  | 0.0     |
| 1.6418        | 32.0  | 256  | 1.1991          | 0.0  | 0.0     |
| 1.6418        | 33.0  | 264  | 1.1937          | 0.0  | 0.0     |
| 1.6258        | 34.0  | 272  | 1.1762          | 0.0  | 0.0     |
| 1.6102        | 35.0  | 280  | 1.1632          | 0.0  | 0.0     |
| 1.6102        | 36.0  | 288  | 1.1498          | 0.0  | 0.0     |
| 1.5266        | 37.0  | 296  | 1.1361          | 0.0  | 0.0     |
| 1.5266        | 38.0  | 304  | 1.1205          | 0.0  | 10.4828 |
| 1.5756        | 39.0  | 312  | 1.1108          | 0.0  | 10.4828 |
| 1.5756        | 40.0  | 320  | 1.1028          | 0.0  | 10.4828 |
| 1.5136        | 41.0  | 328  | 1.0937          | 0.0  | 10.4828 |
| 1.529         | 42.0  | 336  | 1.0837          | 0.0  | 10.4828 |
| 1.529         | 43.0  | 344  | 1.0714          | 0.0  | 11.7931 |
| 1.4738        | 44.0  | 352  | 1.0599          | 0.0  | 13.1034 |
| 1.4738        | 45.0  | 360  | 1.0514          | 0.0  | 13.1034 |
| 1.4521        | 46.0  | 368  | 1.0467          | 0.0  | 13.1034 |
| 1.4521        | 47.0  | 376  | 1.0438          | 0.0  | 13.1034 |
| 1.4758        | 48.0  | 384  | 1.0358          | 0.0  | 13.1034 |
| 1.4698        | 49.0  | 392  | 1.0264          | 0.0  | 13.1034 |
| 1.4698        | 50.0  | 400  | 1.0205          | 0.0  | 17.6897 |
| 1.3355        | 51.0  | 408  | 1.0159          | 0.0  | 18.3448 |
| 1.3355        | 52.0  | 416  | 1.0087          | 0.0  | 19.0    |
| 1.36          | 53.0  | 424  | 1.0040          | 0.0  | 19.0    |
| 1.36          | 54.0  | 432  | 1.0005          | 0.0  | 19.0    |
| 1.3025        | 55.0  | 440  | 0.9955          | 0.0  | 19.0    |
| 1.2773        | 56.0  | 448  | 0.9910          | 0.0  | 19.0    |
| 1.2773        | 57.0  | 456  | 0.9873          | 0.0  | 19.0    |
| 1.3006        | 58.0  | 464  | 0.9840          | 0.0  | 19.0    |
| 1.3006        | 59.0  | 472  | 0.9826          | 0.0  | 19.0    |
| 1.3037        | 60.0  | 480  | 0.9813          | 0.0  | 19.0    |
| 1.3037        | 61.0  | 488  | 0.9765          | 0.0  | 19.0    |
| 1.3133        | 62.0  | 496  | 0.9717          | 0.0  | 19.0    |
| 1.2601        | 63.0  | 504  | 0.9671          | 0.0  | 19.0    |
| 1.2601        | 64.0  | 512  | 0.9637          | 0.0  | 19.0    |
| 1.2442        | 65.0  | 520  | 0.9610          | 0.0  | 19.0    |
| 1.2442        | 66.0  | 528  | 0.9585          | 0.0  | 19.0    |
| 1.2394        | 67.0  | 536  | 0.9568          | 0.0  | 19.0    |
| 1.2394        | 68.0  | 544  | 0.9546          | 0.0  | 19.0    |
| 1.2746        | 69.0  | 552  | 0.9509          | 0.0  | 19.0    |
| 1.233         | 70.0  | 560  | 0.9478          | 0.0  | 19.0    |
| 1.233         | 71.0  | 568  | 0.9452          | 0.0  | 19.0    |
| 1.2382        | 72.0  | 576  | 0.9424          | 0.0  | 19.0    |
| 1.2382        | 73.0  | 584  | 0.9400          | 0.0  | 19.0    |
| 1.2603        | 74.0  | 592  | 0.9379          | 0.0  | 19.0    |
| 1.2603        | 75.0  | 600  | 0.9357          | 0.0  | 19.0    |
| 1.2028        | 76.0  | 608  | 0.9338          | 0.0  | 19.0    |
| 1.2755        | 77.0  | 616  | 0.9330          | 0.0  | 19.0    |
| 1.2755        | 78.0  | 624  | 0.9316          | 0.0  | 19.0    |
| 1.244         | 79.0  | 632  | 0.9303          | 0.0  | 19.0    |
| 1.244         | 80.0  | 640  | 0.9291          | 0.0  | 19.0    |
| 1.115         | 81.0  | 648  | 0.9281          | 0.0  | 19.0    |
| 1.115         | 82.0  | 656  | 0.9272          | 0.0  | 19.0    |
| 1.2373        | 83.0  | 664  | 0.9258          | 0.0  | 19.0    |
| 1.2035        | 84.0  | 672  | 0.9243          | 0.0  | 19.0    |
| 1.2035        | 85.0  | 680  | 0.9231          | 0.0  | 19.0    |
| 1.1881        | 86.0  | 688  | 0.9216          | 0.0  | 19.0    |
| 1.1881        | 87.0  | 696  | 0.9205          | 0.0  | 19.0    |
| 1.1713        | 88.0  | 704  | 0.9200          | 0.0  | 19.0    |
| 1.1713        | 89.0  | 712  | 0.9191          | 0.0  | 19.0    |
| 1.1984        | 90.0  | 720  | 0.9184          | 0.0  | 19.0    |
| 1.2879        | 91.0  | 728  | 0.9177          | 0.0  | 19.0    |
| 1.2879        | 92.0  | 736  | 0.9174          | 0.0  | 19.0    |
| 1.1823        | 93.0  | 744  | 0.9171          | 0.0  | 19.0    |
| 1.1823        | 94.0  | 752  | 0.9170          | 0.0  | 19.0    |
| 1.2293        | 95.0  | 760  | 0.9166          | 0.0  | 19.0    |
| 1.2293        | 96.0  | 768  | 0.9162          | 0.0  | 19.0    |
| 1.2154        | 97.0  | 776  | 0.9160          | 0.0  | 19.0    |
| 1.1625        | 98.0  | 784  | 0.9158          | 0.0  | 19.0    |
| 1.1625        | 99.0  | 792  | 0.9156          | 0.0  | 19.0    |
| 1.1679        | 100.0 | 800  | 0.9156          | 0.0  | 19.0    |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3