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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: t5-base-p-l-akk-en-20241108-111409
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-20241108-111409
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6284
## 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: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.0934 | 1.0 | 10362 | 1.0823 |
| 0.994 | 2.0 | 20724 | 0.9775 |
| 0.9285 | 3.0 | 31086 | 0.9139 |
| 0.8822 | 4.0 | 41448 | 0.8726 |
| 0.8421 | 5.0 | 51810 | 0.8348 |
| 0.8265 | 6.0 | 62172 | 0.8049 |
| 0.8011 | 7.0 | 72534 | 0.7857 |
| 0.7805 | 8.0 | 82896 | 0.7648 |
| 0.7617 | 9.0 | 93258 | 0.7466 |
| 0.7468 | 10.0 | 103620 | 0.7355 |
| 0.7297 | 11.0 | 113982 | 0.7178 |
| 0.7293 | 12.0 | 124344 | 0.7078 |
| 0.7112 | 13.0 | 134706 | 0.6956 |
| 0.7026 | 14.0 | 145068 | 0.6847 |
| 0.6923 | 15.0 | 155430 | 0.6775 |
| 0.6855 | 16.0 | 165792 | 0.6726 |
| 0.6816 | 17.0 | 176154 | 0.6639 |
| 0.6704 | 18.0 | 186516 | 0.6590 |
| 0.6652 | 19.0 | 196878 | 0.6481 |
| 0.6614 | 20.0 | 207240 | 0.6452 |
| 0.6527 | 21.0 | 217602 | 0.6408 |
| 0.6489 | 22.0 | 227964 | 0.6354 |
| 0.6476 | 23.0 | 238326 | 0.6325 |
| 0.6388 | 24.0 | 248688 | 0.6295 |
| 0.6384 | 25.0 | 259050 | 0.6284 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.6.0.dev20241022+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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