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---
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 |