---
tags:
- generated_from_trainer
model-index:
- name: byt5_1k
  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_1k

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0868

## 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: 400
- eval_batch_size: 800
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 3    | 0.1081          |
| No log        | 2.0   | 6    | 0.0983          |
| No log        | 3.0   | 9    | 0.1285          |
| 0.1432        | 4.0   | 12   | 0.0961          |
| 0.1432        | 5.0   | 15   | 0.1040          |
| 0.1432        | 6.0   | 18   | 0.1032          |
| 0.1488        | 7.0   | 21   | 0.0938          |
| 0.1488        | 8.0   | 24   | 0.0979          |
| 0.1488        | 9.0   | 27   | 0.0976          |
| 0.1375        | 10.0  | 30   | 0.0885          |
| 0.1375        | 11.0  | 33   | 0.0907          |
| 0.1375        | 12.0  | 36   | 0.0863          |
| 0.1375        | 13.0  | 39   | 0.0843          |
| 0.1297        | 14.0  | 42   | 0.0833          |
| 0.1297        | 15.0  | 45   | 0.0840          |
| 0.1297        | 16.0  | 48   | 0.0861          |
| 0.1241        | 17.0  | 51   | 0.0903          |
| 0.1241        | 18.0  | 54   | 0.0891          |
| 0.1241        | 19.0  | 57   | 0.0876          |
| 0.1185        | 20.0  | 60   | 0.0868          |


### Framework versions

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