---
base_model: napatswift/mt5-budget-seq-1
tags:
- generated_from_trainer
model-index:
- name: mt5-budget-seq2seq-2
  results: []
datasets:
- napatswift/budget-seq2seq-json
language:
- th
- en
---

<!-- 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. -->

# mt5-budget-seq2seq-2

This model is a fine-tuned version of [napatswift/mt5-budget-seq-1](https://huggingface.co/napatswift/mt5-budget-seq-1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0056
- Cer: 0.7435

## 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: 0.0006
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 90
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Cer    | Validation Loss |
|:-------------:|:-----:|:----:|:------:|:---------------:|
| 0.0215        | 0.34  | 400  | 0.5769 | 0.0073          |
| 0.0142        | 2.12  | 800  | 0.0072 | 0.7436          |
| 0.0091        | 3.18  | 1200 | 0.0070 | 0.7436          |
| 0.006         | 4.24  | 1600 | 0.0056 | 0.7435          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0