---
license: apache-2.0
base_model: google/byt5-large
tags:
- generated_from_trainer
model-index:
- name: models
  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. -->

# models

This model is a fine-tuned version of [google/byt5-large](https://huggingface.co/google/byt5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0735

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.0178        | 0.0699 | 500   | 0.1299          |
| 0.199         | 0.1398 | 1000  | 0.1156          |
| 0.1327        | 0.2097 | 1500  | 0.1020          |
| 0.1241        | 0.2796 | 2000  | 0.0964          |
| 0.1115        | 0.3495 | 2500  | 0.0919          |
| 0.1109        | 0.4193 | 3000  | 0.0897          |
| 0.1016        | 0.4892 | 3500  | 0.0870          |
| 0.1081        | 0.5591 | 4000  | 0.0847          |
| 0.0946        | 0.6290 | 4500  | 0.0826          |
| 0.0996        | 0.6989 | 5000  | 0.0822          |
| 0.0962        | 0.7688 | 5500  | 0.0809          |
| 0.09          | 0.8387 | 6000  | 0.0799          |
| 0.0901        | 0.9086 | 6500  | 0.0785          |
| 0.098         | 0.9785 | 7000  | 0.0773          |
| 0.0866        | 1.0484 | 7500  | 0.0772          |
| 0.0877        | 1.1183 | 8000  | 0.0776          |
| 0.0865        | 1.1881 | 8500  | 0.0761          |
| 0.0912        | 1.2580 | 9000  | 0.0757          |
| 0.0786        | 1.3279 | 9500  | 0.0762          |
| 0.085         | 1.3978 | 10000 | 0.0744          |
| 0.0818        | 1.4677 | 10500 | 0.0750          |
| 0.078         | 1.5376 | 11000 | 0.0751          |
| 0.0791        | 1.6075 | 11500 | 0.0746          |
| 0.0848        | 1.6774 | 12000 | 0.0743          |
| 0.0755        | 1.7473 | 12500 | 0.0738          |
| 0.0785        | 1.8172 | 13000 | 0.0739          |
| 0.0773        | 1.8871 | 13500 | 0.0736          |
| 0.0792        | 1.9569 | 14000 | 0.0735          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1