---
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
- onnx
metrics:
- bleu
model-index:
- name: kp-mt5-base
  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. -->

# kp-mt5-base

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9680
- Bleu: 29.4263
- Gen Len: 44.3157

## 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: 2.59e-05
- train_batch_size: 24
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step   | Bleu    | Gen Len | Validation Loss |
|:-------------:|:------:|:------:|:-------:|:-------:|:---------------:|
| 1.8289        | 0.4026 | 20001  | 17.9948 | 45.585  | 1.3952          |
| 1.569         | 0.8052 | 40002  | 22.2856 | 45.2362 | 1.2204          |
| 1.463         | 1.2078 | 60003  | 24.6884 | 44.4264 | 1.1352          |
| 1.3552        | 1.6104 | 80004  | 26.0272 | 44.3574 | 1.0864          |
| 1.3187        | 2.0130 | 100005 | 27.0619 | 45.005  | 1.0543          |
| 1.3011        | 2.4156 | 120006 | 1.0286  | 27.63   | 44.1082         |
| 1.2552        | 2.8182 | 140007 | 0.9847  | 29.0405 | 44.4054         |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0