---
tags:
- generated_from_trainer
model-index:
- name: byt5_3k
  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. -->

# byt5_3k

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0786

## 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: 5e-05
- train_batch_size: 800
- eval_batch_size: 800
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 0.1739          |
| No log        | 2.0   | 8    | 0.1598          |
| 0.3456        | 3.0   | 12   | 0.1841          |
| 0.3456        | 4.0   | 16   | 0.1430          |
| 0.3252        | 5.0   | 20   | 0.1628          |
| 0.3252        | 6.0   | 24   | 0.1406          |
| 0.3252        | 7.0   | 28   | 0.1349          |
| 0.3058        | 8.0   | 32   | 0.1498          |
| 0.3058        | 9.0   | 36   | 0.1371          |
| 0.2953        | 10.0  | 40   | 0.1417          |
| 0.2953        | 11.0  | 44   | 0.1371          |
| 0.2953        | 12.0  | 48   | 0.1222          |
| 0.2827        | 13.0  | 52   | 0.1317          |
| 0.2827        | 14.0  | 56   | 0.1227          |
| 0.2719        | 15.0  | 60   | 0.1128          |
| 0.2719        | 16.0  | 64   | 0.1209          |
| 0.2719        | 17.0  | 68   | 0.1200          |
| 0.2698        | 18.0  | 72   | 0.1149          |
| 0.2698        | 19.0  | 76   | 0.1090          |
| 0.2473        | 20.0  | 80   | 0.1045          |
| 0.2473        | 21.0  | 84   | 0.1174          |
| 0.2473        | 22.0  | 88   | 0.1056          |
| 0.2492        | 23.0  | 92   | 0.0976          |
| 0.2492        | 24.0  | 96   | 0.1164          |
| 0.2377        | 25.0  | 100  | 0.0974          |
| 0.2377        | 26.0  | 104  | 0.0922          |
| 0.2377        | 27.0  | 108  | 0.1022          |
| 0.2312        | 28.0  | 112  | 0.0908          |
| 0.2312        | 29.0  | 116  | 0.0891          |
| 0.2254        | 30.0  | 120  | 0.0967          |
| 0.2254        | 31.0  | 124  | 0.0930          |
| 0.2254        | 32.0  | 128  | 0.0866          |
| 0.224         | 33.0  | 132  | 0.0828          |
| 0.224         | 34.0  | 136  | 0.0850          |
| 0.2166        | 35.0  | 140  | 0.0883          |
| 0.2166        | 36.0  | 144  | 0.0825          |
| 0.2166        | 37.0  | 148  | 0.0804          |
| 0.2128        | 38.0  | 152  | 0.0855          |
| 0.2128        | 39.0  | 156  | 0.0865          |
| 0.2048        | 40.0  | 160  | 0.0798          |
| 0.2048        | 41.0  | 164  | 0.0787          |
| 0.2048        | 42.0  | 168  | 0.0802          |
| 0.2063        | 43.0  | 172  | 0.0812          |
| 0.2063        | 44.0  | 176  | 0.0803          |
| 0.2075        | 45.0  | 180  | 0.0779          |
| 0.2075        | 46.0  | 184  | 0.0773          |
| 0.2075        | 47.0  | 188  | 0.0772          |
| 0.1997        | 48.0  | 192  | 0.0781          |
| 0.1997        | 49.0  | 196  | 0.0783          |
| 0.2074        | 50.0  | 200  | 0.0786          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2