---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: t5-base-p-l-akk-en-20241125-151008
  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. -->

# t5-base-p-l-akk-en-20241125-151008

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4584

## 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: 0.0001
- train_batch_size: 200
- eval_batch_size: 200
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.9667        | 1.0   | 10362  | 0.9112          |
| 0.8355        | 2.0   | 20724  | 0.7909          |
| 0.772         | 3.0   | 31086  | 0.7263          |
| 0.7326        | 4.0   | 41448  | 0.6910          |
| 0.7033        | 5.0   | 51810  | 0.6666          |
| 0.6787        | 6.0   | 62172  | 0.6455          |
| 0.6633        | 7.0   | 72534  | 0.6329          |
| 0.652         | 8.0   | 82896  | 0.6206          |
| 0.6408        | 9.0   | 93258  | 0.6073          |
| 0.6315        | 10.0  | 103620 | 0.6015          |
| 0.6161        | 11.0  | 113982 | 0.5914          |
| 0.6211        | 12.0  | 124344 | 0.5857          |
| 0.6053        | 13.0  | 134706 | 0.5766          |
| 0.6043        | 14.0  | 145068 | 0.5727          |
| 0.5954        | 15.0  | 155430 | 0.5681          |
| 0.59          | 16.0  | 165792 | 0.5649          |
| 0.5844        | 17.0  | 176154 | 0.5628          |
| 0.579         | 18.0  | 186516 | 0.5564          |
| 0.5792        | 19.0  | 196878 | 0.5493          |
| 0.5739        | 20.0  | 207240 | 0.5479          |
| 0.567         | 21.0  | 217602 | 0.5435          |
| 0.5626        | 22.0  | 227964 | 0.5406          |
| 0.5591        | 23.0  | 238326 | 0.5375          |
| 0.5508        | 24.0  | 248688 | 0.5356          |
| 0.5548        | 25.0  | 259050 | 0.5329          |
| 0.5512        | 26.0  | 269412 | 0.5299          |
| 0.5473        | 27.0  | 279774 | 0.5267          |
| 0.5413        | 28.0  | 290136 | 0.5243          |
| 0.5433        | 29.0  | 300498 | 0.5246          |
| 0.5378        | 30.0  | 310860 | 0.5209          |
| 0.5375        | 31.0  | 321222 | 0.5206          |
| 0.5363        | 32.0  | 331584 | 0.5178          |
| 0.528         | 33.0  | 341946 | 0.5143          |
| 0.532         | 34.0  | 352308 | 0.5121          |
| 0.5279        | 35.0  | 362670 | 0.5137          |
| 0.5265        | 36.0  | 373032 | 0.5080          |
| 0.5231        | 37.0  | 383394 | 0.5077          |
| 0.5187        | 38.0  | 393756 | 0.5082          |
| 0.5191        | 39.0  | 404118 | 0.5047          |
| 0.5159        | 40.0  | 414480 | 0.5029          |
| 0.5159        | 41.0  | 424842 | 0.5014          |
| 0.5131        | 42.0  | 435204 | 0.4998          |
| 0.5137        | 43.0  | 445566 | 0.4973          |
| 0.5128        | 44.0  | 455928 | 0.4972          |
| 0.5101        | 45.0  | 466290 | 0.4985          |
| 0.505         | 46.0  | 476652 | 0.4969          |
| 0.5014        | 47.0  | 487014 | 0.4964          |
| 0.4988        | 48.0  | 497376 | 0.4938          |
| 0.5051        | 49.0  | 507738 | 0.4898          |
| 0.4974        | 50.0  | 518100 | 0.4928          |
| 0.4999        | 51.0  | 528462 | 0.4904          |
| 0.4973        | 52.0  | 538824 | 0.4884          |
| 0.4973        | 53.0  | 549186 | 0.4877          |
| 0.4913        | 54.0  | 559548 | 0.4879          |
| 0.4968        | 55.0  | 569910 | 0.4846          |
| 0.4916        | 56.0  | 580272 | 0.4838          |
| 0.4938        | 57.0  | 590634 | 0.4833          |
| 0.4866        | 58.0  | 600996 | 0.4819          |
| 0.4871        | 59.0  | 611358 | 0.4818          |
| 0.4837        | 60.0  | 621720 | 0.4792          |
| 0.4855        | 61.0  | 632082 | 0.4783          |
| 0.4828        | 62.0  | 642444 | 0.4781          |
| 0.4789        | 63.0  | 652806 | 0.4780          |
| 0.4781        | 64.0  | 663168 | 0.4785          |
| 0.4803        | 65.0  | 673530 | 0.4767          |
| 0.4791        | 66.0  | 683892 | 0.4755          |
| 0.4783        | 67.0  | 694254 | 0.4743          |
| 0.4772        | 68.0  | 704616 | 0.4739          |
| 0.4757        | 69.0  | 714978 | 0.4730          |
| 0.4708        | 70.0  | 725340 | 0.4711          |
| 0.4698        | 71.0  | 735702 | 0.4717          |
| 0.4719        | 72.0  | 746064 | 0.4733          |
| 0.4708        | 73.0  | 756426 | 0.4703          |
| 0.4717        | 74.0  | 766788 | 0.4700          |
| 0.4714        | 75.0  | 777150 | 0.4677          |
| 0.4641        | 76.0  | 787512 | 0.4688          |
| 0.4642        | 77.0  | 797874 | 0.4678          |
| 0.4656        | 78.0  | 808236 | 0.4666          |
| 0.4625        | 79.0  | 818598 | 0.4661          |
| 0.4623        | 80.0  | 828960 | 0.4664          |
| 0.4619        | 81.0  | 839322 | 0.4657          |
| 0.4574        | 82.0  | 849684 | 0.4635          |
| 0.4562        | 83.0  | 860046 | 0.4628          |
| 0.4593        | 84.0  | 870408 | 0.4613          |
| 0.4583        | 85.0  | 880770 | 0.4600          |
| 0.4573        | 86.0  | 891132 | 0.4598          |
| 0.4518        | 87.0  | 901494 | 0.4564          |
| 0.4599        | 88.0  | 911856 | 0.4577          |
| 0.4545        | 89.0  | 922218 | 0.4594          |
| 0.4534        | 90.0  | 932580 | 0.4564          |
| 0.449         | 91.0  | 942942 | 0.4564          |
| 0.4523        | 92.0  | 953304 | 0.4584          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.6.0.dev20241022+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1