transformers tensorboard safetensors mt5 text2text-generation generated_from_trainer en bgc base_model:google/mt5-base base_model:finetune:google/mt5-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: google/mt5-base
language:
- en
- bgc
license: apache-2.0
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: tst-translation
  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. -->

# tst-translation

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: 3.1206
- Bleu: 7.9168
- Gen Len: 51.4945

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Bleu   | Gen Len  |
|:-------------:|:-------:|:----:|:---------------:|:------:|:--------:|
| 4.5126        | 1.5748  | 200  | 2.7474          | 1.0891 | 120.8315 |
| 2.4414        | 3.1496  | 400  | 2.5120          | 5.0172 | 54.7623  |
| 1.724         | 4.7244  | 600  | 2.4090          | 5.2115 | 61.985   |
| 1.2755        | 6.2992  | 800  | 2.5519          | 7.0203 | 46.1414  |
| 0.97          | 7.8740  | 1000 | 2.5975          | 7.005  | 56.5266  |
| 0.7251        | 9.4488  | 1200 | 2.7918          | 7.6235 | 52.6841  |
| 0.584         | 11.0236 | 1400 | 2.8952          | 7.3273 | 49.9659  |
| 0.4358        | 12.5984 | 1600 | 3.1206          | 7.9168 | 51.4945  |
| 0.3619        | 14.1732 | 1800 | 3.2645          | 7.9096 | 50.5517  |
| 0.2933        | 15.7480 | 2000 | 3.3971          | 7.9015 | 49.6169  |
| 0.2447        | 17.3228 | 2200 | 3.5039          | 7.8441 | 49.6911  |
| 0.2151        | 18.8976 | 2400 | 3.5556          | 7.8198 | 50.1153  |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
